Special Issue: Computational Intelligence and Smart Technologies for Sustainable Electrical Energy Systems
Guest Editors
Prof. Mohan Lal Kolhe
Professor in Smart Grid and Renewable Energy, Faculty of Engineering and Science, University of Agder, Norway
Email: mohan.l.kolhe@uia.no
Dr. Aashish Kumar Bohre
Assistant Professor in Electrical Engineering, National Institute of Technology (NIT), Durgapur, West Bengal, India
Email: aashishkumar.bohre@ee.nitdgp.ac.in
Manuscript Topics
This special issue of the AIMS Energy journal focuses on the synergistic application of Computational Intelligence (CI) and Smart Technologies in the development of sustainable electrical energy systems. The selected papers delve into innovative methodologies, algorithms, and technologies that enhance the efficiency, reliability, and environmental impact of electrical energy generation, transmission, and consumption. Key areas of interest include renewable energy integration, demand-side management, grid optimization, predictive maintenance, and adaptive control. By merging CI with smart technologies, this special issue aims to advance the frontier of sustainable energy systems for a greener and more resilient future. This special issue is dedicated to the latest research on CI and smart technologies for sustainable electrical energy systems. The issue covers a wide range of topics, including:
• Artificial intelligence and machine learning for renewable energy forecasting, operation, and optimization
• Data-driven modelling and analysis of energy systems
• Smart grid technologies for demand response, distributed energy resources, and microgrids
• Electric vehicle charging and transportation electrification.
• Computational intelligence for power system stability and reliability
• Smart technologies for energy efficiency in buildings and industry
• Decision support systems for sustainable energy planning and management
The special issue aims to publish high-quality papers that present original research and new insights into the use of computational intelligence and smart technologies for sustainable electrical energy systems. The issue is expected to be of interest to a broad audience, including researchers, engineers, policymakers, and practitioners in the field of sustainable energy.
Some selected presentations from the Springer-sponsored conference 'Computational Intelligence and Smart Technologies in Electrical Engineering', Dec 2023 will be recommended with an expanded version for peer-review and publishing considerations in this special issue.
Instruction for Authors
https://www.aimspress.com/aimse/news/solo-detail/instructionsforauthors
Please submit your manuscript to online submission system
https://aimspress.jams.pub/
