Review Special Issues

A review on peak shaving techniques for smart grids

  • Peak shaving techniques have become increasingly important for managing peak demand and improving the reliability, efficiency, and resilience of modern power systems. In this review paper, we examine different peak shaving strategies for smart grids, including battery energy storage systems, nuclear and battery storage power plants, hybrid energy storage systems, photovoltaic system installations, the real-time scheduling of household appliances, repurposed electric vehicle batteries, uni- and bi-directional electric vehicle charging, the demand response, the time-of-use pricing, load shedding systems, distributed generation systems and energy-efficient management. We analyze the potential of each strategy to reduce peak demand and shift energy consumption to off-peak hours, as well as identify the key themes critical to the success of peak shaving for smart grids, including effective coordination and communication, data analytics and predictive modeling and clear policy and regulatory frameworks. Our review highlights the diverse range of innovative technologies and techniques available to utilities and power system operators and it emphasizes the need for continued research and development in emerging areas such as blockchain technology and artificial intelligence. Overall, the implementation of peak shaving strategies represents a significant step toward a more sustainable, reliable and efficient power system. By leveraging the latest technologies and techniques available, utilities and power system operators can better manage peak demand, integrate renewable energy sources, and create a more reliable and secure grid for the future. By discussing cutting-edge technologies and methods to effectively manage peak demand and incorporate renewable energy sources, this review paper emphasizes the significance of peak shaving strategies for smart grids as a crucial pathway towards realizing a more sustainable, dependable and efficient power system.

    Citation: Syed Sabir Hussain Rizvi, Krishna Teerth Chaturvedi, Mohan Lal Kolhe. A review on peak shaving techniques for smart grids[J]. AIMS Energy, 2023, 11(4): 723-752. doi: 10.3934/energy.2023036

    Related Papers:

    [1] Ilenia Piras, Vanessa Usai, Paolo Contu, Maura Galletta . Vicarious trauma, coping strategies and nurses' health outcomes: An exploratory study. AIMS Public Health, 2024, 11(4): 1071-1081. doi: 10.3934/publichealth.2024055
    [2] Vasiliki Georgousopoulou, Panagiota Pervanidou, Pantelis Perdikaris, Efrosyni Vlachioti, Vaia Zagana, Georgios Kourtis, Ioanna Pavlopoulou, Vasiliki Matziou . Covid-19 pandemic? Mental health implications among nurses and Proposed interventions. AIMS Public Health, 2024, 11(1): 273-293. doi: 10.3934/publichealth.2024014
    [3] Thiresia Sikioti, Afroditi Zartaloudi, Despoina Pappa, Polyxeni Mangoulia, Evangelos C. Fradelos, Freideriki Eleni Kourti, Ioannis Koutelekos, Evangelos Dousis, Nikoletta Margari, Areti Stavropoulou, Eleni Evangelou, Chrysoula Dafogianni . Stress and burnout among Greek critical care nurses during the COVID-19 pandemic. AIMS Public Health, 2023, 10(4): 755-774. doi: 10.3934/publichealth.2023051
    [4] Vasileios Tzenetidis, Aristomenis Kotsakis, Mary Gouva, Konstantinos Tsaras, Maria Malliarou . Examining psychosocial risks and their impact on nurses' safety attitudes and medication error rates: A cross-sectional study. AIMS Public Health, 2025, 12(2): 378-398. doi: 10.3934/publichealth.2025022
    [5] Ilenia Piras, Igor Portoghese, Massimo Tusconi, Federica Minafra, Mariangela Lecca, Giampaolo Piras, Paolo Contu, Maura Galletta . Professional and personal experiences of workplace violence among Italian mental health nurses: A qualitative study. AIMS Public Health, 2024, 11(4): 1137-1156. doi: 10.3934/publichealth.2024059
    [6] Giovanni Napoli, Simone Autuori, Kumi Senkyire Ephraim . Attitudes of Italian mental health nurses towards mental illness and recovery: a cross-sectional study. AIMS Public Health, 2023, 10(2): 333-347. doi: 10.3934/publichealth.2023025
    [7] Val Bellman, David Thai, Anisha Chinthalapally, Nina Russell, Shazia Saleem . Inpatient violence in a psychiatric hospital in the middle of the pandemic: clinical and community health aspects. AIMS Public Health, 2022, 9(2): 342-356. doi: 10.3934/publichealth.2022024
    [8] Carol Nash . The Health Narratives Research Group (HeNReG): A self-direction process offered to help decrease burnout in public health nurse practitioners. AIMS Public Health, 2024, 11(1): 176-208. doi: 10.3934/publichealth.2024009
    [9] Maryanna Klatt, Jacqueline Caputo, Julia Tripodo, Nimisha Panabakam, Slate Bretz, Yulia Mulugeta, Beth Steinberg . A highly effective mindfulness intervention for burnout prevention and resiliency building in nurses. AIMS Public Health, 2025, 12(1): 91-105. doi: 10.3934/publichealth.2025007
    [10] Francesco Marcatto, Emilia Patriarca, Davide Bramuzzo, Emanuela Lucci, Francesca Larese Filon . Investigating the role of organizational stress in nurses' psychosomatic complaints: Evidence from a study in northeastern Italy. AIMS Public Health, 2024, 11(2): 420-431. doi: 10.3934/publichealth.2024021
  • Peak shaving techniques have become increasingly important for managing peak demand and improving the reliability, efficiency, and resilience of modern power systems. In this review paper, we examine different peak shaving strategies for smart grids, including battery energy storage systems, nuclear and battery storage power plants, hybrid energy storage systems, photovoltaic system installations, the real-time scheduling of household appliances, repurposed electric vehicle batteries, uni- and bi-directional electric vehicle charging, the demand response, the time-of-use pricing, load shedding systems, distributed generation systems and energy-efficient management. We analyze the potential of each strategy to reduce peak demand and shift energy consumption to off-peak hours, as well as identify the key themes critical to the success of peak shaving for smart grids, including effective coordination and communication, data analytics and predictive modeling and clear policy and regulatory frameworks. Our review highlights the diverse range of innovative technologies and techniques available to utilities and power system operators and it emphasizes the need for continued research and development in emerging areas such as blockchain technology and artificial intelligence. Overall, the implementation of peak shaving strategies represents a significant step toward a more sustainable, reliable and efficient power system. By leveraging the latest technologies and techniques available, utilities and power system operators can better manage peak demand, integrate renewable energy sources, and create a more reliable and secure grid for the future. By discussing cutting-edge technologies and methods to effectively manage peak demand and incorporate renewable energy sources, this review paper emphasizes the significance of peak shaving strategies for smart grids as a crucial pathway towards realizing a more sustainable, dependable and efficient power system.



    Handover, also referred to as shift report or handoff, is a pivotal event in clinical practice across healthcare settings and organizations, often considered a high-risk moment [1]. It involves the transfer of real-time, patient-specific information between healthcare providers, professionals, or caregivers to ensure continuity of care, as well as responsibility and accountability for patients' healthcare and outcomes [2],[3].

    The dynamics and complexity of communication processes in healthcare make this a multidimensional and multifactorial process [2] with a myriad of interdependent variables. These variables include personal characteristics of the health professional as well as characteristics of the setting, such as location, procedure, and participants, among others. Even though it can occur at different times, between diverse levels and units of an organization, and even between organizations, handover is the most recurring communicative event across disciplines and specific teams providing patient care (e.g., doctors, nurses, allied health workers) [1]. Nursing handovers are important in healthcare settings during nurses' shift-to-shift rotations [2],[3]. These handovers involve exchanging important patient-related information between nurses and may occur three or more times a day, depending on the shift schedule [4]. It is important to note that nurses are legally responsible and accountable for transferring essential patient-specific information during these handovers [4].

    Structurally, fundamental elements suggested in the literature compose the procedures and content of nursing handovers (depicted in Table 1). Standardized communication tools with mnemonic rationales, such as ISBAR/ISBARQ, DeMIST, ISOBAR, ICCCO, SHARED, VITAL, REED, I-PASS, PVITAL, and PSYCH [2],[5],[6], increasingly assure information accuracy and consistency in handover communication through standardization [5].

    Table 1.  Nursing handover elements.
    Handover elements Description
    Timing Occurs during shift changes, patient transfers, admissions, referrals, or discharges.
    Length Typically takes between 18 and 50 minutes to complete, depending on the healthcare setting and patient characteristics [6].
    Channel Conducted face-to-face, via telephone, through paper forms, or electronic handover platforms.
    Location Takes place at the patient's bedside, in a staff room, office, during ward rounds, in hospital corridors [1], or at the reception area of a hospital or clinic.
    Stakeholders Involves nurses only; may also involve patients, carers, or relatives; conducted by nurses responsible for handover or head nurses.
    Tools Utilizes handwritten forms, computer-generated handover reports, or standardized communication tools based on international guidelines (e.g., ISBAR) [6].

     | Show Table
    DownLoad: CSV

    Extensive literature highlights the relationship between handover quality and patient safety [1],[5],[7]. Communication during shift changes is one of the leading causes of sentinel events, and ineffective handovers are also reported as major factors contributing to multiple potential hazards, including the unavailability of required equipment for patients, information omissions, diagnosis errors, treatment errors, disposition errors, and treatment delays [5],[8]. Moreover, the lack of communication between incoming and outgoing nurses entails reduced safety, including delays in treatment, medical errors, and patient injury or death [9].

    Hitherto, research has focused on best practices for clinical handover [3],[10], patient involvement, namely bedside handover [10],[11], experiences of clinical handover by nurses, patients, or relatives [3],[12], use of handover tools such as standardized handover forms or electronic handover systems [13],[14], handover improvement interventions [15],[16], and the study of barriers and facilitators [17],[18]. Additionally, the quality of handovers has been considered and reviewed based on content (accuracy and completeness of information), process (including aspects of the transfer environment and behavior of handovers), and results, which encompass everything that occurs after the shift change [19]. Patient safety and satisfaction are the most closely related factors in the literature [19].

    Several factors contribute to the quality of handover/handoff communication, which is related not only to the health professional per se but also to organizational and structural issues. Hence, multiple determinants affect the reliability and efficiency of handover communication, as follows: interruptions or distractions due to people (patient, family) solicitation or equipment alarms [6],[18]; workload and insufficient or neophyte nurses, time constraints, poor communication and relations between nurses, and high turnover [8],[20][22]; and failure to deliver pertinent information, insufficient handover structure, lack of training in documentation, poor leadership, or safety culture [6],[8].

    Acknowledging the relevance of nursing handovers to ensure quality, safety, and continuity of care [5] entails a heavy load on nurses' sense of their caregiving quality. Being aware of the impact of working conditions on nurses' mental health [23],[24] makes it pertinent to wonder if the moment of handovers in nursing clinical practice is, in any way, also related to nurses' mental health. Promoting and protecting nurses' mental health means investing in productivity, adaptability, and resilience toward the difficulties nurses may encounter during their work, which may entail dealing with suffering, uncertainty, and demanding working conditions, among other dire events. Recognizing and reviewing the consequences of nursing handover regarding its mental toll provides insight into its implications for the mental health of nursing professionals and, consequently, the quality of care provided. A preliminary search of PROSPERO, OSF platform, CINAHL Ultimate, MEDLINE Ultimate, the Cochrane Database of Systematic Reviews, and the Joanna Briggs Evidence Synthesis revealed no systematic review protocol or study on this topic. Thus, this scoping review is timely and much needed as it delves into whether nursing handover promotes or hinders nurses' mental health. This review aims to explore and map the implications of nursing handover regarding nurses' mental health. Understanding the pressures and psychological impact associated with nursing handovers provides awareness and contributes to a more thoughtful development of support strategies and specific interventions that promote nurses' mental health.

    This scoping review acknowledges the paucity of studies that focus on nurses' mental health regarding nursing handover; the search for its clarification entails mapping out the available scientific literature. To that end, the JBI methodology for scoping reviews [25] and PRISMA ScR Checklist [26] guided this review, and the protocol is available at https://osf.io/6584j. Therefore, we used a three-step search strategy to identify published and unpublished primary studies and text and opinion papers. This approach ensured a thorough search and provided a broad understanding of the existing evidence on the topic. First, an initial limited search of MEDLINE Ultimate (via EBSCOhost) and CINAHL Ultimate (via EBSCOhost) allowed the identification of articles on the topic, with the initial terms handover AND nurse* AND “mental health”. Two reviewers (MT and MS) examined the data related to text terms found in titles, abstracts, keywords, and index terms. They identified relevant terms to incorporate into a comprehensive yet targeted search strategy for directing the search process, producing the following search strategy formula: (Nurs* OR Nursing OR Midwife OR Midwives) AND (Handover OR Handoff) AND (“Mental Health” OR Mood OR Anxiety OR Depression OR Stress OR Coping OR Burden OR “Nurses psychology”).

    The second stage, accomplished on April 5, 2024, entailed conducting the search strategy formula using four databases: CINAHL Ultimate (via EBSCO), MEDLINE Ultimate (via EBSCO), MedicLatina (via EBSCO), and Scopus. Regarding gray literature, searches included Google Scholar and RCAAP (Repositórios Científicos de Acesso Aberto de Portugal) (for more details see https://osf.io/z5rwc).

    The inclusion criteria were based on the Population-Concept-Context framework, but we refined their specifications to ensure they were clear, precise, and had fewer confounding factors. Complying with JBI methodology, we created an a priori protocol that can be revised based on an iterative approach and a better understanding of the literature during the review process. Consequently, we delineated the following parameters described in Table 2.

    Table 2.  Inclusion criteria.
    Inclusion criteria Description
    Participants This scoping review included studies of nurses in clinical practice, regardless of their degree, category, or function. Studies involving nursing students were excluded.
    Concept This scoping review focused on studies that explore nurses' mental health, meaning it examined mental health–related concepts (e.g., stress, anxiety, burden) among nurses in clinical practice.
    Context This review considered studies focused on shift-to-shift nursing handovers in any healthcare setting. Nursing handovers between departments or healthcare units were excluded.
    Types of sources This scoping review analyzed quantitative, qualitative, and mixed-methods study designs, reviews, editorials, and opinions for inclusion. Gray literature such as conference proceedings, theses, dissertations, government documents, policy documents, and books was also considered for inclusion.
    Language Sources were restricted to documents in English, Portuguese, or Spanish.
    Time limits No time limits were applied to the data; the aim was to provide a comprehensive literature overview.

     | Show Table
    DownLoad: CSV

    Study selection proceeded with compiling and uploading all identified studies into Mendeley Reference Manager to identify duplicates and facilitate coordination between reviewers. Following a pilot test involving ten articles (with five articles assigned to MT and VM each), reviewers collaboratively screened titles and abstracts against the inclusion criteria for the review. Potentially relevant papers were moved to a full-text assessment by two independent reviewers (MT and VM) to determine eligibility. Exclusion reasons for full-text papers are documented and available at https://osf.io/bh8g6. In three studies, there was disagreement among the reviewers, which was resolved through discussion and with the involvement of a third reviewer (LS). The study selection and search results are reported in the PRISMA flow diagram (Figure 1) [27].

    In the final stage of the search, we examined the reference lists of included documents to identify additional relevant sources. Three articles presented criteria for possible inclusion, and the authors were contacted via e-mail through ResearchGate, although none replied.

    Figure 1.  PRISMA-ScR flow diagram.

    Data extraction from the included studies followed a standardized extraction form. This form included the title, author, year of publication, country of origin, type of study, participants, healthcare setting, study aims, mental health concepts, and key findings. During data extraction, we added a category of data extraction, namely the type of handover, as we needed to point out the procedural configuration of the study's handover. Two reviewers (MT and VM) previously tested the extraction form, independently extracting information from five records and assessing their congruency. MT completed the data extraction, and VM verified the correctness. This rigorous process ensures the accuracy and reliability of the data presented in this review (full data extraction available at https://osf.io/qzh9f).

    All team members conducted data analysis based on the study's objectives and corresponding review questions, providing insights into the major themes that emerged from the data. We used qualitative content analysis to synthesize the mapping data and identify themes effectively. We also included relevant tables to support our findings.

    This scoping review includes 11 studies published between 1988 and 2022. The studies originate from the United Kingdom (n = 4), Australia (n = 4), United States of America (n = 1), South Korea (n = 1), and Hong Kong (n = 1) [28][38]. Most of the included studies employ a qualitative methodology (n = 9), comprising four ethnographic studies, two phenomenological studies, one qualitative case study, one qualitative descriptive study, and one qualitative exploratory study. Additionally, two theoretical papers are incorporated. Regarding the healthcare setting, all studies take place in (or refer to) hospital environments, namely acute care settings, predominantly medical and surgical wards, and intensive care units (Table 3). These studies collectively involved a wide range of nursing professionals, from newly graduated nurses to senior nursing directors, including more than 122 nurses (considering that six studies do not enumerate the number of study participants).

    Overall, nurses typically conduct verbal shift reports, mainly face-to-face, in a designated staff area, such as an office, where outgoing nurses report their patients to the incoming nurses, even though the nurses in charge of handovers differed with the hospital system (n = 9). Two studies presented a handover report that starts with a “global handover” performed by the head nurse or the nurse in charge of the shift to provide an overview of all patients, followed by a bedside handover between the outgoing–incoming nurses [28],[29]. Kim and colleagues found that in primary nursing, such as in intensive care units, the nurse directly responsible for a patient would hand them over to the next nurse in charge. In team nursing, the handover responsibilities were with the nurse in charge or the senior nurse, and the other team nurses would listen to the handover instructions together [30]. This process also involved using electronic medical records (EMRs) and Cardex, which could be non-contact (proceedings not elucidated by authors) or face-to-face [30]. Five studies mentioned bedside handovers, where the patient and sometimes their family or caregivers are present [28],[29],[31][33]. This type of handover focuses on the report of a specific patient between the nurse in charge of their care and the nurse who will be taking over in the patient's unit (at his bedside). Therefore, the significant distinction between the type of handover present in the included studies relates to the location (office or bedside) and the nurses providing the handover (if the nurse in charge of handover or nurse in charge of the patient).

    Table 3.  Summary of included studies.
    Author (year) Country Type of study Healthcare setting
    Strange (1996) [28] United Kingdom Ethnographic study Hospital ward (for intensive treatment)
    Manias & Street (2000) [29] Australia Critical ethnography study Critical care unit of a public teaching hospital
    Kim et al. (2022) [30] South Korea Qualitative descriptive study Wards and intensive care units of small and medium-sized hospitals
    Happell et al. (2013) [31] Australia Qualitative exploratory study Acute care hospital (pediatric, surgical, and medical wards)
    Hopkinson (2002) [32] United Kingdom Phenomenological study Acute hospital medical wards
    Thurgood (1995) [33] United Kingdom Theoretical analysis Not specified
    Chung et al. (2021) [34] Hong Kong (China) Descriptive phenomenological study Public acute care hospitals
    Evans et al. (2008) [35] Australia Qualitative case study Medical ward of metropolitan teaching hospital
    Wiltshire & Parker (1996) [36] Australia Theoretical analysis General hospital settings
    Wolf (1988) [37] United States of America Ethnographic study Medical unit of a large urban hospital
    Lally (1999) [38] United Kingdom Ethnographic observational study Surgical ward in general hospital

     | Show Table
    DownLoad: CSV

    Understanding mental health involves the intricate interplay of various factors within a dynamic and holistic framework, which includes constructs such as anxiety, stress, or coping. Consequently, we identified three themes that focus on how nurses' mental health is affected by handovers: (1) source of psychological discomfort; (2) coping resource; and (3) peer support and cohesion (see Table 4). The following sections describe each theme.

    Handovers can constitute a source of negative feelings, including fatigue, dissatisfaction, burden, tension, uneasiness between nurses, criticism, bullying, frustration, shame, insomnia, lack of confidence, dissatisfaction, fear, and anxiety. Bedside handovers have been found to raise patient confidentiality issues [33], causing stress for nurses who feel uncomfortable discussing sensitive information in front of patients and their relatives [31]. Additionally, tension arises when nurses must discreetly communicate sensitive information, particularly when caring for dying patients, further adding to their stress [32]. In particular, Manias and Street's critical care unit study revealed another source of psychological distress regarding bedside handovers, which entails a sense of scrutiny from the incoming nurses, which induces fear and anxiety in the outgoing nurses [29]. They felt they were being examined or critiqued when questions or requests for more patient information occurred, which usually focused on gaps or faults rather than achievements or deeds. Correspondently, the “tyranny of tidiness” constituted a pervasive feature during bedside handover, as the outgoing nurse felt she had to hand off the patient with an expected standard determined by nurses A or B, and failure to reach those expectations resulted in feelings of guilt, which meant that the outgoing nurse “did not make the bed area tidy by the time of the bedside handover” [30]. Simultaneously, “the tyranny of business” meant that the incoming nurses pointed out uncompleted or subpar activities of the outgoing nurse, failing to acknowledge the difficulty and high demand shift the outgoing nurse endured, and even presenting “unappreciative comments” [30]. Moreover, some nurses utilized guilt as a form of punishment to assert their power.

    Table 4.  Type of handover and thematic findings of included studies.
    Author (year) Type of handover Thematic findings
    Strange (1996) [28] Clinical handover by the nurse in charge of a shift (face-to-face in a designated staff room). Bedside handovers were also performed, but the study did not investigate them. Coping resource
    Peer support and cohesion
    Manias & Street (2000) [29] Clinical handovers (face-to-face in a designated staff room) designated as “global handover” and followed by bedside handovers. Source of psychological discomfort
    Kim et al. (2022) [30] Clinical handovers (face-to-face in a designated staff room) and non-contact handovers, with the aid of electronic medical records (EMRs) and Cardex in all hospitals. The nurses in charge of handovers differed with the hospital system. Source of psychological discomfort
    Happell et al. (2013) [31] Bedside handovers Source of psychological discomfort
    Hopkinson (2002) [32] Six wards have clinical handovers (face-to-face in a designated staff room); two wards have bedside handovers. Source of psychological discomfort
    Coping resource
    Thurgood (1995) [33] “Verbal handover reports” (office and bedside, but no clear distinction) Coping resource
    Peer support and cohesion
    Chung et al. (2021) [34] Clinical handovers (face-to-face in a designated staff room) Source of psychological discomfort
    Evans et al. (2008) [35] Clinical handovers (face-to-face in a designated staff room) Coping resource
    Peer support and cohesion
    Wiltshire & Parker (1996) [36] Clinical handovers (face-to-face in a designated staff room) Coping resource
    Peer support and cohesion
    Wolf (1988) [37] Clinical handovers (face-to-face in a designated staff room) Coping resource
    Peer support and cohesion
    Lally (1999) [38] Clinical handovers (face-to-face in a designated staff room) Peer support and cohesion

     | Show Table
    DownLoad: CSV

    Manias and Street referred to “the global handover”, which happened in a private staff room before the bedside handover [29]. Nurse coordinators mainly performed it to help them understand patients' overall status in the ward. The current communication process inhibited clinical nurses from participating or asking for more patient information, causing frustration among nurses who felt left out, even though the handover process was seen as necessary. As a result, the global handover process seems to have ritualistic characteristics that give nurse coordinators a sense of control and authority in the work environment [29].

    Two other studies pointed out difficulties that neophyte nurses may experience during handover, albeit viewing clinical handover with reverence and as an essential nursing practice that ensures continuity of care [30],[34]. Kim and colleagues mentioned that small and medium-sized hospital wards lack standardized handover training [30]. This leads to inconsistency and stress among nurses, prevailing conformity to the handover style dictated by the head or senior nurses of a respective ward. Newly hired nurses often receive inadequate training, leading to adaptation difficulties and anxiety [30]. Some experience bullying during handovers, which are felt as a moment for inspection, attributing blame and criticism toward the new nurse's performance, which is considered subpar, and creating an uncomfortable atmosphere among the nursing team [30]. In turn, senior nurses found handovers burdensome due to the time spent on training new nurses. Face-to-face verbal handovers assisted by electronic medical records were common, but non-contact handovers were also mentioned [30]. While senior nurses preferred non-contact handovers, most nurses preferred face-to-face handovers for better concentration and understanding [30]. Nevertheless, inefficient handovers due to inexperience or duplication of information led to fatigue and dissatisfaction [30].

    Chung and colleagues also stated that new general nurses often experience significant stress and anxiety during clinical handovers, particularly when handovers are perceived as chaotic or inefficient, leading to feelings of frustration and shame and sometimes even affecting their quality of life, such as causing insomnia [34]. These negative feelings are exacerbated when handing over to senior nurses, who may question their reports more critically and express dissatisfaction with their performance. Feeling unprepared for the handover due to highly demanding work during the shift, which did not allow the preparation of the handover reports, also contributed to anxiety and lack of confidence [34]. Additionally, most participants explained that a significant difficulty in conducting clinical handovers was due to unsystematic reporting, making it difficult to present the patient's current status logically [34]. Conversely, some participants reported receiving support and close supervision from their senior colleagues, which allowed them not to experience too much anxiety or stress toward clinical handover practice [34].

    Nursing handovers serve as a vital coping resource for nurses, helping to manage clinical practice's intrinsic psychological and emotional demands. As a critical transition space embedded in a ritualistic framework, it functions to alleviate anxiety among nurses by establishing control and predictability over a vulnerable period of transition of power, control, and responsibility for patient care [28],[35],[36]. These rituals create a structured, tacitly regulated environment that allows outgoing nurses to debrief and manage their emotional disturbances. In contrast, incoming nurses prepare cognitively and emotionally for their shift [36], and organize and prioritize their nursing care, reducing uncertainty and helplessness, particularly in dynamic ward environments where patient status can change rapidly [28].

    Depicted as an occupational ritual of socialization [37], handover enables nurses to process distressing experiences in a supportive, non-judgmental environment, facilitating the collective psychological management of difficult experiences [36]. This ritual allows nurses to voice complaints, share humor and concerns, deal with body decay, death, and other anxiety-inducing situations, and collaboratively resolve shared patient and professional problems [36],[37]. Hence, for incoming nurses, it provides the necessary preparation for the shift before them, providing more than patient information, allowing them to process the expressed abjection of the outgoing nurses and to process them through the rationalist and collective dimensions of the handover [36]. The categorization of patients during handovers, often through stereotyping, serves as a psychological defense mechanism, helping nurses cope with the complexities of their roles [35]. Hopkinson emphasized the supportive nature of handovers as an unexpected finding of his study, which sought to understand how nurses can be supported in caring for dying people [32]. Handovers helped some nurses alleviate anxiety, stress, and frustration, facilitating discussions about their experiences and providing essential information that aids their emotional preparation for the upcoming shift [32].

    The ability to share responsibilities, commitment to patient care, and associated anxieties with peers provide significant emotional support and control, reinforcing this ritual's importance in managing the emotional demands of nursing practice [32],[37]. Thus, a positive and inclusive handover environment diminishes the negative impacts of staff hierarchy [33]. It provides informal feedback from peers and formal appraisals from managers, which help nurses reduce stress and anxiety and identify their strengths and weaknesses [33].

    Nursing handovers provide a structured environment that fosters emotional ties, group identity, teamwork, and shared responsibility among nurses, thus promoting peer support and cohesion.

    In clinical nursing, handovers are ritualistic events that foster group cohesion, especially during informal social gatherings before the formal handover process. These gatherings involve casual conversations and shared practices, which help develop trust and a sense of teamwork among incoming nurses and create a supportive atmosphere in which nurses can emotionally connect with their colleagues [28],[35]. As a result, group identity and solidarity emerge, enabling the management of underlying workplace anxiety, difficult experiences, and professional problems [35][37].

    Thurgood pointed out that effective handover reports are significant for fostering teamwork [33]. Nurses involved in these reports experience increased morale, motivation, and cooperation [33]. This positive environment encourages information sharing and supports the growth of team morale, which is essential for maintaining a cohesive nursing team [33]. The collaborative nature of completing unfinished tasks post–shift reports symbolizes nurses' continuous commitment and shared responsibility [37]. This ritual reinforces the transfer of patient ownership and ensures the transmission of clinical knowledge, standards of care, and values from shift to shift. Notwithstanding, handovers serve a social function by managing and identifying “deviant cases”, where non-verbal comments and unwritten rules guide social behavior and reinforce group norms [28]. For example, after the handover, the oncoming shift members proceed to the ward as it is considered impolite to keep the other shift waiting [28]. Additionally, there is an unwritten rule that the handover report should not be too long. There was a nurse who had a reputation for long reports, and it became a standing joke to ask her if she knew the Apgar score of patients who were quite elderly [28].

    Lally highlighted that the inter-shift handover process, involving all incoming and outgoing nurses in a staff room, is more than just transferring patient care information; it is a ritual that ensures continuity of care and serves as a forum for team building [38]. During these handovers, nurses communicate shared goals and values related to nursing practice, enhancing a communal value system [38]. This process is vital for promoting team unity and maintaining high care standards, demonstrating that handovers are essential for team cohesion rather than just traditional or routine forms of communication. The ritualistic nature of handovers serves a deeper purpose beyond the transfer of information; it fosters a sense of community and support among nursing staff [38]. Prioritizing a positivistic stance on technical, rational, and scientific validation within the nursing profession might unintentionally lead to undervaluing the handover as a source of peer support and cohesion [28],[38].

    The findings of this scoping review highlight the significant impact of nursing handovers on nurses' mental health. These have substantial implications for clinical practice, reaching far beyond the patient-specific information delivered between nurses to ensure the continuity and safety of patient care.

    Nursing handovers can be a significant source of psychological discomfort, manifesting in various negative emotions such as fatigue, dissatisfaction, burden, tension, uneasiness, criticism, bullying, frustration, shame, insomnia, lack of confidence, fear, and anxiety. Thurgood [33] and Happell et al. [31] found that bedside handovers could raise patient confidentiality issues, causing stress for nurses who feel uncomfortable discussing sensitive information in front of patients and their families. This tension is exacerbated when nurses must discreetly communicate sensitive information, particularly in caring for dying patients [32]. However, nurses recognize that bedside handovers help build rapport with patients and families, as highlighted by Hopkinson [32]. Notwithstanding, bedside handovers have become increasingly popular in recent years due to improved patient and nurse satisfaction and reduced miscommunication, errors, and costs [10]. Thus, patients support bedside handover because it empowers them to be involved in their nursing care and enables them to participate in care decisions [39]. As a result, best practice recommendations establish that bedside clinical handover should be standardized, patient-centered, and personalized to ensure confidentiality and respect individual preferences for involvement [10].

    Manias and Street [29] identified additional sources of psychological distress within the intensive care unit (ICU). They noted that during bedside handovers, outgoing nurses often felt heightened scrutiny and anxiety, as incoming nurses often focused on faults and incomplete tasks rather than acknowledging achievements. This emphasis on perfection and productivity led to guilt and stress among the outgoing nurses. Ahn and colleagues [9] also corroborated these findings, describing how ICU nurses expressed feeling belittled by criticism from incoming nurses and were held to an unrealistic expectation of perfection, which in turn made outgoing nurses feel guilty and compelled to apologize for any missed or incomplete tasks, regardless of the demanding nature of their shift. Indeed, Chung and colleagues [34] reported that new nurses working in sub-acute settings with stable patients considered preparing reports with ample time, with some receiving full support and close supervision from senior colleagues, reducing anxiety and stress.

    The global handover, performed in a private staff room by nurse coordinators, excluding clinical nurses from participating [29], entails recognizing the need for partnership embedded in mutual respect and cooperative relationships [9]. In order to enhance communication, it is essential for the nurse receiving information to engage actively during the handover process, taking into account any potential differences in understanding that may occur during transitions of care [40]. The absence of chances to confirm information and the fear of being seen as incompetent are barriers to obtaining information and produce ineffective communication [9].

    Newly graduated and less experienced nurses also face significant stress and anxiety during handovers, even described as bullying, partly due to a lack of handover training and standardized procedures and due to a lack of efficiency in performing nursing tasks and shift reports [30],[34]. Best practice recommendations establish a standardized, structured approach for inter-shift clinical handover, recognizing that different settings may require unique system adaptations, as a one-size-fits-all approach may not be appropriate [41],[42]. Even so, employing an information checklist during patient handover is advised to enhance the handover process and care delivery, which may benefit from integrating electronic systems to support the process [41],[42].

    Standardizing handover procedures across healthcare settings means reducing variability and ensuring all nurses, especially newly graduated ones, receive adequate training that must be secured through proper integration training [30],[34]. Establishing a consistent and time-sensitive preceptorship program, supervised by senior and experienced nursing colleagues, supports newly graduated nurses in adapting to their new working environment [34].

    The ritualist nature of nursing handovers becomes evident and was explored in five studies [28],[29],[35][37], constituting the basis for establishing the handover as a coping resource for nurses. As a ritual, it establishes a set of collective tacit conducts that serve to create a structured and predictable routine during a vulnerable transition that marks the start and the end of a shift; it enables nurses to manage anxiety and other emotional disturbances and to share values, responsibilities, and hardships [28],[35][37]. Moreover, nurses can feel abjection as a human reaction to what they perceive as fundamentally disturbing or vile [36]. This can happen when there is a breach of bodily boundaries, like exposure to bodily fluids or severe wounds, which can feel like an intrusion of the unclean or impure into their sense of cleanliness and integrity. Managing this feeling of abjection is an essential aspect of nursing handover [36]. Stereotyped comments, a lay moral–based discourse, are considered a defense mechanism that allows nurses to present incoming nurses with new patients, or even patients' status, as less unfamiliar [35]. These are associated more with how the nurses feel toward the patient than the appraisal of the patient itself [35]. The negative or positive stereotyping of specific patients was subtly conveyed and formed an unconscious bias reflected in the handover practice, concealing the nurses' true feelings of affection or aversion toward their patients and masking the emotional impact of nursing on nurses' feelings [35]. Regulating anxiety and other distressing experiences through handovers means having the opportunity to debrief and manage emotional disturbances of the outgoing shift among peers—recognized as genuinely able to comprehend the feelings and work pressure—and to prepare cognitively and emotionally for the incoming shift, reducing uncertainty and helplessness [32],[35][37].

    Therefore, nurses must consider the protective, supportive, and restorative functions of handovers. This is particularly relevant when handovers occur in a designated staff room, offering a private setting for nurses to express emotions and discuss experiences without the presence of patients or families, unlike bedside handovers [28],[32],[36].

    One other aspect relevant to nurses' mental health relates to fostering peer support and cohesion among nurses, which highlights the social function of the handover [28]. Handover rituals are important for forming emotional ties among nurses, which are essential for group cohesion, fostering a sense of collective identity among nursing staff, and promoting peer support and teamwork [33],[35][37]. Lally [38] highlighted that the handover process is more than just transferring patient care information; it is a ritual that ensures continuity of care and is a forum for team building. During handovers, nurses communicate shared goals and values related to nursing practice, enhancing a communal value system [28],[37],[38]. This process is vital for promoting team unity, reducing hostility between the nursing team, and maintaining high care standards, demonstrating that handovers are essential for team cohesion rather than outdated communication methods [35],[38].

    The implicit functions of nursing handovers, as recognized by these findings, are often hidden [32],[35]. Even though nurses see handover as necessary for continuity of care, information transfer, and student teaching, many nurses do not perceive the handover as a ritual [28]. Critics of the ritualistic nature of nursing work consider rituals as repetitive, outdated, purposeless, and void of evidence-based practice [28],[37]. However, ritualized behavior emerges as a way for nurses to alleviate anxiety and establish control, namely in demanding settings such as acute care hospital services [28],[35],[37]. Additionally, attending handover for nurses seems to be a cultural rule, ensuring social order by enforcing cohesion interaction, upholding common nursing values, and maintaining exclusivity within their group [43].

    Current research extends a greater focus on explicit functions related to communicating information from one nurse/shift to the next and handing over responsibility for the patient [35]. Two types of projects were highlighted in a recent systematic review of quality improvement projects aimed at enhancing the inter-shift nursing handover process [15]. These are the implementation of standardized communication tools and patient-participation bedside handover [15]. The outcomes measured included patient safety, handover time, patient and caregiver participation, and nurse perception and satisfaction [15]. The quality improvement projects that were reviewed do not emphasize the supportive, social, protective, or restorative aspects of handover, which are acknowledged to play a significant role in the mental well-being of nurses. Instead, these projects mainly assess outcomes related to patient safety and efficiency.

    To enhance nursing handover practices and support nurses' mental health, it is fundamental to recognize the psychological and social functions of handovers, embedded in a ritualistic nature. This provides a sense of control and predictability as well as regular, structured interactions among peers, which are essential for emotional support and coping with the high-stress nature of nursing work.

    Moreover, standardizing handover procedures by implementing structured protocols, such as the SBAR framework, can help alleviate the psychological burden on nurses by providing a predictable and structured process, particularly in neophyte nurses. Comprehensive training programs for newly graduated and less experienced nurses, properly supervised by senior nursing colleagues, help newly graduated nurses adapt to their new working environment more smoothly, reducing stress and anxiety [30],[34].

    Encouraging open and transparent communication during handovers is vital for creating a supportive environment. Nurses should feel comfortable expressing concerns and sharing experiences without fear of criticism. This openness fosters mutual support and collaboration, enhancing team cohesion and morale [32],[37].

    Bedside handovers, despite potential confidentiality issues, should be conducted in a manner that respects patient privacy and involves them in their care. Standardizing patient-centered bedside handovers improves patient and nurse satisfaction and reduces miscommunication [10],[31].

    From a policy perspective, healthcare institutions should develop comprehensive handover policies that include standardized procedures and training guidelines. These policies should emphasize the importance of confidentiality and address power dynamics within nursing teams, such as hierarchical relationships where senior nurses may dominate or intimidate less experienced nurses, to prevent handovers from becoming sources of bullying or criticism. Promoting a culture of mutual respect and collaboration is key to maintaining a supportive work environment [8],[29],[30].

    Future research should focus on quantitative studies, to systematically measure the impact of different handover practices on nurses' mental health outcomes, and also qualitative studies, which focus on nurses' experience of handover and associated emotional and psychological challenges. Expanding research to include a variety of healthcare settings beyond hospitals is essential for a comprehensive understanding of handover practices. Further research should also explore the supportive, social, protective, and restorative functions of handovers, which play a critical role in nurses' mental health [28],[30],[34],[37].

    The primary limitation of this review is its reliance on studies conducted mainly in hospital settings, which may not fully capture the experiences of nurses with handovers in other healthcare environments. Additionally, most studies are qualitative, and no critical appraisal of the quality of the included studies was conducted, which limits the reliability and generalizability of the findings. Furthermore, we were unable to access three studies despite efforts to contact the authors, necessitating their exclusion.

    Despite these limitations, this review provides valuable insights into the critical role of nursing handovers in supporting nurses' mental health.

    This scoping review underscores the complex interplay between handover practices and nurses' mental health. The findings indicate that handovers can be both a source of psychological discomfort and a vital coping resource, highlighting the need for standardized and supportive handover practices across healthcare settings. The ritualistic nature of handovers provides structure and predictability, which are essential for managing the psychological and emotional demands of nursing practice. This structure helps nurses prepare for their shifts, manage anxiety, debrief from emotionally challenging experiences, and foster a supportive environment that enhances team cohesion and peer support. Nevertheless, it is recognized that the location of the handover—bedside or private office—the involvement of new nurses to the team, and the demands inherent to particular settings, such as dying patients or critical units, entail different benefits and challenges to nurses' mental health. Further research must consider the explicit functions of handover—transfer of information and patient responsibility—as well as the implicit functions that concern supportive, social, protective, and restorative purposes. Understanding these can help design better handover protocols that support nurses' mental health while maintaining high standards of patient care.

    The authors declare they have not used Artificial Intelligence (AI) tools in the creation of this article.



    [1] Markovic DS, Zivkovic D, Branovic I, et al. (2013) Smart power grid and cloud computing. Renewable Sustainable Energy Rev 24: 566–577. https://doi.org/10.1016/j.rser.2013.03.068 doi: 10.1016/j.rser.2013.03.068
    [2] Ozdemir E, Ozdemir S, Erhan K, et al. (2016) Energy storage technologies opportunities and challenges in smart grids. International Smart Grid Workshop and Certificate Program (ISGWCP), Istanbul, Turkey, 1–6. https://doi.org/10.1109/ISGWCP.2016.7548263
    [3] Borlase S (2018) Smart grids: Advanced technologies and solutions, second edition (2nd Ed.). CRC Press, Taylor & Francis Group. https://doi.org/10.1201/9781351228480
    [4] Uddin M, Romlie MF, Abdullah MF, et al. (2017) A review on peak load shaving strategies. Renewable Sustainable Energy Rev 82: 3323–3332. https://doi.org/10.1016/j.rser.2017.10.056 doi: 10.1016/j.rser.2017.10.056
    [5] Yılmaz F, Eren Y (2023) A novel load profile generation method based on the estimation of regional usage habit parameters with genetic algorithm. Electric Power Syst Res 217: 1–13. https://doi.org/10.1016/j.epsr.2023.109165 doi: 10.1016/j.epsr.2023.109165
    [6] Ideal energy (2023) Peak shaving with solar and energy storage. Available from: https://www.idealenergysolar.com/peak-shaving-solar-storage.
    [7] Zhang TS, Sheng WX, Song XH, et al. (2013) Probabilistic modelling and simulation of stochastic load for power system studies. UKSim 15th International Conference on Computer Modelling and Simulation, Cambridge, UK, 519–524. https://doi.org/10.1109/UKSim.2013.23
    [8] Oudalov A, Cherkaoui R, Beguin A (2007) Sizing and optimal operation of battery energy storage system for peak shaving application. 2007 IEEE Lausanne Power Tech, Lausanne, Switzerland, 621–625. https://doi.org/10.1109/PCT.2007.4538388
    [9] Uddin M, Romlie MF, Abdullah MF, et al. (2020) A novel peak shaving algorithm for islanded microgrid using battery energy storage system. Energy 196: 117084. https://doi.org/10.1016/j.energy.2020.117084 doi: 10.1016/j.energy.2020.117084
    [10] Arcos-Vargas A, Lugo D, Nunez F (2018) Residential peak electricity management. A storage and control systems application taking advantages of smart meters. Int J Electr Power Energy Syst 102: 110–121. https://doi.org/10.1016/j.ijepes.2018.04.016 doi: 10.1016/j.ijepes.2018.04.016
    [11] Evans A, Strezov V, Evans TJ (2012) Assessment of utility energy storage options for increased renewable energy penetration. Renewable Sustainable Energy Rev 16: 4141–4147. https://doi.org/10.1016/j.rser.2012.03.048 doi: 10.1016/j.rser.2012.03.048
    [12] Song A, Zhou YK (2023) A hierarchical control with thermal and electrical synergies on battery cycling ageing and energy flexibility in a multi-energy sharing network. Renewable Energy 212: 1020–1037. https://doi.org/10.1016/j.renene.2023.05.050 doi: 10.1016/j.renene.2023.05.050
    [13] Chen X, Huang L, Liu J (2022) Peak shaving benefit assessment considering the joint operation of nuclear and battery energy storage power stations: Hainan case study. Energy 239: 21897. https://doi.org/10.1016/j.energy.2021.121897 doi: 10.1016/j.energy.2021.121897
    [14] Song D, Chang Q, Zheng S (2021) Adaptive model predictive control for Yaw system of variable-speed wind turbines. J Modern Power Syst Clean Energy 9: 219–224. https://doi.org/10.35833/MPCE.2019.000467 doi: 10.35833/MPCE.2019.000467
    [15] Yang J, Fang LQ, Song DR, et al. (2021) Review of control strategy of large horizontal-axis wind turbines yaw system. Wind Energy 24: 97–115. https://doi.org/10.1002/we.2564 doi: 10.1002/we.2564
    [16] Atawi IE, Al-Shetwi AQ, Magableh AM, et al. (2023) Recent advances in hybrid energy storage system integrated renewable power generation: Configuration, control, applications, and future directions. Batteries 9: 1–35. https://doi.org/10.3390/batteries9010029 doi: 10.3390/batteries9010029
    [17] Mohd A, Ortjohann E, Schmelter A, et al. (2008) Challenges in integrating distributed energy storage systems into future smart grid. 2008 IEEE International Symposium on Industrial Electronics, Cambridge, UK, 1627–1632. https://doi.org/10.1109/isie.2008.4676896
    [18] Zhao P, Wang JF, Dai YP (2015) Capacity allocation of a hybrid energy storage system for power system peak shaving at high wind power penetration level. Renewable Energy 75: 541–549. https://doi.org/10.1016/j.renene.2014.10.040 doi: 10.1016/j.renene.2014.10.040
    [19] Zhou YK (2022) Transition towards carbon-neutral districts based on storage techniques and spatiotemporal energy sharing with electrification and hydrogenation. Renewable Sustainable Energy Rev 162: 112444. https://doi.org/10.1016/j.rser.2022.112444 doi: 10.1016/j.rser.2022.112444
    [20] Korpaas M, Holen AT, Hildrum R (2003) Operation and sizing of energy storage for wind power plants in a market system. Int J Electric Power Energy Syst 25: 599–606. https://doi.org/10.1016/s0142-0615(03)00016-4 doi: 10.1016/s0142-0615(03)00016-4
    [21] Müller M, Viernstein L, Truong CN, et al. (2017) Evaluation of grid-level adaptability for stationary battery energy storage system applications. Europe J Energy Storage 9: 1–11. https://doi.org/10.1016/j.est.2016.11.005 doi: 10.1016/j.est.2016.11.005
    [22] Ceran B, Jurasz J, Mielcarek A, et al. (2021) PV systems integrated with commercial buildings for local and national peak load shaving. Poland J Cleaner Product 322: 129076. https://doi.org/10.1016/j.jclepro.2021.129076 doi: 10.1016/j.jclepro.2021.129076
    [23] Shu S, Mo L, Wang Y (2019) Peak shaving strategy of wind-solar-hydro hybrid generation system based on modified differential evolution algorithm. Energy Proc 158: 3500–3505. https://doi.org/10.1016/j.egypro.2019.01.920 doi: 10.1016/j.egypro.2019.01.920
    [24] Syafii, Zaini, Juliandri D, et al. (2018) Design of PV system for electricity peak-shaving: A case study of faculty of engineering, Andalas University. 2018 International Conference on Computing, Power and Communication Technologies (GUCON), Greater Noida, India, 294–298. https://doi.org/10.1109/gucon.2018.8675096
    [25] Zheng X, Zhou Y (2023) A three-dimensional unsteady numerical model on a novel aerogel-based PV/T-PCM system with dynamic heat-transfer mechanism and solar energy harvesting analysis. Appl Energy 338: 120899. https://doi.org/10.1016/j.apenergy.2023.120899 doi: 10.1016/j.apenergy.2023.120899
    [26] Jurasz JK, Bronisław P, Campana PE (2019) Can a city reach energy self-sufficiency by means of rooftop photovoltaics? Case study from Poland. J Cleaner Product 245: 118813. https://doi.org/10.1016/j.jclepro.2019.118813 doi: 10.1016/j.jclepro.2019.118813
    [27] Uddin M, Romlie MF, Abdullah MF, et al. (2018) A review on peak load shaving strategies. Renewable Sustainable Energy Rev 82: 3323–3332. https://doi.org/10.1016/j.rser.2017.10.056 doi: 10.1016/j.rser.2017.10.056
    [28] Caprino D, Della Vedova ML, Facchinetti T (2014) Peak shaving through real-time scheduling of household appliances. Energy Build 75: 133–148. https://doi.org/10.1016/j.enbuild.2014.02.013 doi: 10.1016/j.enbuild.2014.02.013
    [29] Lin JT, Chen CM (2015) Simulation optimization approach for hybrid flow shop scheduling problem in semiconductor back-end manufacturing. Simul Model Practice Theory 51: 100–114. https://doi.org/10.1016/j.simpat.2014.10.008 doi: 10.1016/j.simpat.2014.10.008
    [30] Vinyals M, Bistaffa F, Farinelli A, et al. (2012) Coalitional energy purchasing in the smart grid. Energy Conference and Exhibition (ENERGYCON), 2012 IEEE International, 848–853. https://doi.org/10.1109/EnergyCon.2012.6348270
    [31] Zhou YK (2022) Low-carbon transition in smart city with sustainable airport energy ecosystems and hydrogen-based renewable-grid-storage-flexibility. Energy Rev 1: 100001. https://doi.org/10.1016/j.enrev.2022.100001 doi: 10.1016/j.enrev.2022.100001
    [32] Zhao L, Aravinthan V (2013) Strategies of residential peak shaving with integration of demand response and V2H. 2013 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC). https://doi.org/10.1109/appeec.2013.6837260
    [33] Lee JW, Haram MHSM, Ramasamy G (2021) Technical feasibility and economics of repurposed electric vehicles batteries for power peak shaving. J Energy Storage 40: 102752. https://doi.org/10.1016/j.est.2021.102752 doi: 10.1016/j.est.2021.102752
    [34] Laserna EM, Gandiaga I, Zabala ES, et al. (2018). Battery second life: Hype, hope or reality? A critical review of the state of the art. Renewable Sustainable Energy Rev 93: 701–718. https://doi.org/10.1016/j.rser.2018.04.035 doi: 10.1016/j.rser.2018.04.035
    [35] Giorgio AD, Liberati F, Canale S (2014). Electric vehicles charging control in a smart grid: A model predictive control approach. Control Eng Pract 22: 147–162. https://doi.org/10.1016/j.conengprac.2013.10.005 doi: 10.1016/j.conengprac.2013.10.005
    [36] Kriekinge GV, Cauwer CD, Sapountzoglou N, et al. (2021) Peak shaving and cost minimization using model predictive control for uni- and bi-directional charging of electric vehicles. Energy Rep 7: 8760–8771. https://doi.org/10.1016/j.egyr.2021.11.207 doi: 10.1016/j.egyr.2021.11.207
    [37] Ito A, Kawashima A, Suzuki T (2018) Model predictive charging control of in-vehicle batteries for home energy management based on vehicle state prediction. IEEE Transactions on Control Systems Technology, 26: 51–64. https://doi.org/10.1109/tcst.2017.2664727 doi: 10.1109/tcst.2017.2664727
    [38] Zhaoxi L, Qiuwei W, Kang M, et al. (2019) Two-stage optimal scheduling of electric vehicle charging based on transactive control. IEEE Trans Smart Grid 10: 2948–2958. https://doi.org/10.1109/TSG.2018.2815593 doi: 10.1109/TSG.2018.2815593
    [39] Song A, Zhou Y (2023) Advanced cycling ageing-driven circular economy with E-mobility-based energy sharing and lithium battery cascade utilisation in a district community. J Cleaner Prod 415: 137797. https://doi.org/10.1016/j.jclepro.2023.137797 doi: 10.1016/j.jclepro.2023.137797
    [40] Lai J, Zhou H, Hu W, et al. (2015) Smart demand response based on smart homes. Math Probl 2015: 912535. Eng https://doi.org/10.1155/2015/912535 doi: 10.1155/2015/912535
    [41] Shen J, Jiang C, Liu Y, et al. (2016) A microgrid energy management system with demand response for providing grid peak shaving. Electr Power Compon Syst 44: 843–852. https://doi.org/10.1080/15325008.2016.1138344 doi: 10.1080/15325008.2016.1138344
    [42] Zhong H, Xie L, Xia Q (2013) Coupon incentive-based demand response: Theory and case study. IEEE Trans Power Syst 28: 1266–1276. https://doi.org/10.1109/TPWRS.2012.2218665 doi: 10.1109/TPWRS.2012.2218665
    [43] Zhou Y (2022) Incentivising multi-stakeholders' proactivity and market vitality for spatiotemporal microgrids in Guangzhou-Shenzhen-Hong Kong Bay Area. Appl Energy 328: 120196. https://doi.org/10.1016/j.apenergy.2022.120196 doi: 10.1016/j.apenergy.2022.120196
    [44] Zhou Y (2022) Demand response flexibility with synergies on passive PCM walls, BIPVs, and active air-conditioning system in a subtropical climate. Renewable Energy 199: 204–225. https://doi.org/10.1016/j.renene.2022.08.128 doi: 10.1016/j.renene.2022.08.128
    [45] Papadopoulos V, Delerue T, Ryckeghem JV, et al. (2017) Assessing the impact of load forecasting accuracy on battery dispatching strategies with respect to Peak Shaving and Time-of-Use (TOU) applications for industrial consumers. 52nd International Universities Power Engineering Conference (UPEC), Heraklion, Greece, 1–5. https://doi.org/10.1109/UPEC.2017.8231939
    [46] Manoochehri H, Fereidunian A (2016) Peak-shaving using time-of-use pricing and market coordination. 4th Regional Conference on Electricity Distribution (CIRED), Tehran, Iran. https://doi.org/10.1109/ISTEL.2016.7881915
    [47] Hassan R, M. Abdallah M, Radman G (2012) Load shedding in smart grid: A reliable efficient Ad-Hoc broadcast algorithm for smart house. Proceedings of IEEE Southeastcon, Orlando, FL, USA, 1–5. https://doi.org/10.1109/SECon.2012.6196919
    [48] Mishra S, Palanisamy P (2018) Efficient power flow management and peak shaving in a microgrid-PV system. IEEE Energy Conversion Congress and Exposition (ECCE), Portland, OR, USA, 3792–3798. https://doi.org/10.1109/ECCE.2018.8558312
    [49] Hassan R, Abdallah M, Radman G, et al. (2011) Under-Frequency Load Shedding: Towards a smarter smart house with a consumer level controller. Proc IEEE, 73–78. https://doi.org/10.1109/SECON.2011.5752909
    [50] Panda S, Mohanty S, Rout PK, et al. (2022) Residential demand side management model, optimization and future perspective: A review. Energy Rep 8: 3727–3766. https://doi.org/10.1016/j.egyr.2022.02.300 doi: 10.1016/j.egyr.2022.02.300
    [51] Zhou L, Zhou Y (2023) Study on thermo-electric-hydrogen conversion mechanisms and synergistic operation on hydrogen fuel cell and electrochemical battery in energy flexible buildings. Energy Conver Manage 277: 116610. https://doi.org/10.1016/j.enconman.2022.116610 doi: 10.1016/j.enconman.2022.116610
    [52] Pudjianto D, Ramsay C, Strbac G (2007) Virtual power plant and system integration of distributed energy resources. Renewable Power Gener 10–16. https://doi.org/10.1049/iet-rpg: 20060023
    [53] Behera S, Misra R (2018) SmartPeak: Peak shaving and ambient analysis for energy efficiency in electrical smart grid. Proceedings of the 2018 Artificial Intelligence and Cloud Computing Conference, 157–165. https://doi.org/10.1145/3299819.3299833
    [54] Zhou Y, Lund PD (2023) Peer-to-peer energy sharing and trading of renewable energy in smart communities—Trading pricing models, decision-making and agent-based collaboration. Renewable Energy 207: 177–193. https://doi.org/10.1016/j.renene.2023.02.125 doi: 10.1016/j.renene.2023.02.125
    [55] Molderink A, Bakker V, Bosman MGC, et al. (2010) Management and control of domestic smart grid technology. IEEE Trans Smart Grid 1: 109–119. https://doi.org/10.1109/TSG.2010.2055904 doi: 10.1109/TSG.2010.2055904
    [56] Holcomb D, Li W, Seshia SA (2009) Algorithms for green buildings: Learning-based techniques for energy prediction and fault diagnosis. Technical Report No: UCB/EECS-2009-138. Available from: https://digitalassets.lib.berkeley.edu/techreports/ucb/text/EECS-2009-138.pdf.
  • Reader Comments
  • © 2023 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(4965) PDF downloads(301) Cited by(4)

Figures and Tables

Figures(14)  /  Tables(1)

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog