Neural Computation and Applications for Sustainable Energy Systems

  E-mail   Print

Guest Editors
Dr. Marcin Wozniak
Silesian University of Technology, Poland
Email: marcin.wozniak@polsl.pl

Dr. Giacomo Capizzi
University of Catania, Italy
Email: gcapizzi@diees.unict.it

Dr. Robertas Damasevicius
Kaunas University of Technology, Lithuania
Email: robertas.damasevicius@ktu.lt

Dr. Wei Wei
Xi‘an University of Technology, China
Email: weiwei@xaut.edu.cn

Manuscript Topics
Rapid development of Renewable Energy technologies and strict regulations on carbon emissions boosted the development of sustainable energy systems, but the complexity of their management has also increased. The aim of this special issue is to solicit theoretical, computational, application-oriented, experimental and real-world research in the field of neural computing and to demonstrate the advances, and improvements in the investigation and application of state-of-the-art neural computing methodologies for sustainable energy management. This special issue will foster and encourage active participation of academic researchers and scholars from a variety of communities from both the academia and the industry, focusing on the applications of neural computing for analysing, modelling and simulating energy systems on multiple levels of scale (smart cities, smart homes, microgrids, Body Area Networks). This will bring the opportunity to review latest advances, to promote interdisciplinary discussion and collaboration, and to explore future trends of the research in this field and related areas.

Topics related to neural computation to be covered in this special issue include but are not limited to:

• Artificial Intelligence and Machine Learning in energy systems (neural networks, neuro-fuzzy systems, data mining, pattern recognition, signal processing, nature inspired computational intelligence)
• Optimization of renewable energy systems
• Energy Systems, Networks, Grids, and Microgrids
• Process control and monitoring
• Fault diagnostics and maintenance
• Smart systems
• Industry 4.0
• Industrial and energy management applications of neural computing
• Energy management in Wireless Sensor Networks and Internet-of-things
• Low-power embedded computing
• Power management of wearable devices and mobile applications
• Smart computing for Energy Internet
• Renewable Energy Systems (wind, solar, hydro, geothermal, biomass, hybrid)
• Smart Combustion Systems

Paper Submission
All manuscripts will be peer-reviewed before their acceptance for publication.
The deadline for manuscript submission is March 1, 2019.

Instructions for authors
http://www.aimspress.com/news/295.html
Please submit your manuscript to online submission system
http://oeps.aimspress.com/mbe/ch/author/login.aspx

Favour Adenugba, Sanjay Misra, Rytis Maskeliūnas, Robertas Damaševičius, Egidijus Kazanavičius
+ Abstract     + HTML     + PDF(1354 KB)
Qian Zhang, Haigang Li
+ Abstract     + HTML     + PDF(830 KB)
Hongjie Deng, Lingxi Peng, Jiajing Zhang, Chunming Tang, Haoliang Fang, Haohuai Liu
+ Abstract     + HTML     + PDF(852 KB)
Dailin Wang, Yunlei Lv, Danting Ren, Linhui Li
+ Abstract     + HTML     + PDF(724 KB)
Open Access Journals
Blog:
More
Open Access Journals