(ISSN 2690-1692)
Journal of Energy and Power Technology (JEPT) is an international peer-reviewed Open Access journal published quarterly online by LIDSEN Publishing Inc. This periodical is dedicated to providing a unique, peer-reviewed, multi-disciplinary platform for researchers, scientists and engineers in academia, research institutions, government agencies and industry. The journal is also of interest to technology developers, planners, policy makers and technical, economic and policy advisers to present their research results and findings.
Journal of Energy and Power Technology focuses on all aspects of energy and power. It publishes not only original research and review articles, but also various other types of articles from experts in these fields, such as Communication, Opinion, Comment, Conference Report, Technical Note, Book Review, and more, to promote intuitive understanding of the state-of-the-art and technology trends.
Main research areas include (but are not limited to):
Renewable energies (e.g. geothermal, solar, wind, hydro, tidal, wave, biomass) and grid connection impact
Energy harvesting devices
Energy storage
Hybrid/combined/integrated energy systems for multi-generation
Hydrogen energy
Fuel cells
Nuclear energy
Energy economics and finance
Energy policy
Energy and environment
Energy conversion, conservation and management
Smart energy system
Power generation - Conventional and renewable
Power system management
Power transmission and distribution
Smart grid technologies
Micro- and nano-energy systems and technologies
Power electronic
Biofuels and alternatives
High voltage and pulse power
Organic and inorganic photovoltaics
Batteries and supercapacitors
Publication Speed (median values for papers published in 2023): Submission to First Decision: 5.1 weeks; Submission to Acceptance: 11.6 weeks; Acceptance to Publication: 7 days (1-2 days of FREE language polishing included)
Special Issue
Artificial Intelligence, Machine Learning and Deep Learning in Energy Systems
Submission Deadline: December 31, 2025 (Open) Submit Now
Guest Editors
Rahim Zahedi, PhD, Assistant Professor
Department of Energy Governance, University of Tehran, Tehran, Iran
Research interests: Energy engineering; energy conversion; renewable energy technologies; thermal engineering; thermodynamics; power generation; energy and environment; artificial intelligence
Mohammad Mohsen Hayati, PhD
Energy Systems Research Institute, Faculty of Electrical and Computer Engineering, University of Tabriz, Tabriz, Iran
Research interests: Power system optimization; power systems reliability; security analysis; future energy markets; machine learning; transportation electrification; forecasting
Sahand Heidary, PhD student
Department of Information Technology, Faculty of Computer Engineering, K. N. Toosi University of Technology, Tehran, Iran
Research interests: Artificial intelligence and machine learning algorithms; blockchain technology and decentralized applications; Web application development; cloud computing and distributed systems
About This Topic
Artificial Intelligence is a field of research in computer science that deals with the development of programs and systems capable of performing tasks that require human-like intellectual abilities. These systems can perceive their environment, learn, make decisions, and tackle challenges that previously only humans could handle. Artificial intelligence finds applications across various domains such as energy, manufacturing, transportation, and more. Over the past few decades, the field of artificial intelligence has witnessed significant advancements, revolutionizing how we approach complex problems and tasks. With the advent of big data analysis methods and cutting-edge digital tools, artificial intelligence has enabled researchers to understand human behavior, societal structures, and cultural dynamics. By harnessing the power of machine learning algorithms, neural networks, and natural language processing, artificial intelligence has empowered machines to comprehend language, translate text, and process information at unprecedented speeds and accuracy. Moreover, the integration of artificial intelligence into computer systems has paved the way for studying long-term development dynamics through advanced analytical tools. By leveraging artificial intelligence capabilities to analyze extensive statistical data sets, researchers can construct dynamic models that offer insights into socio-economic trends and facilitate forecasting based on a combination of mathematical models and expert assessments. New steps in the field of Artificial Intelligence are related to the use of advanced computational tools, such as photonic and quantum co-processors. In this special issue, the interaction between the energy-related areas with ML, DL and how AI can be implemented in these areas will be investigated
Keywords
Artificial intelligence, Machine learning, Energy systems, Deep learning, Forecasting, Optimization
Manuscript Submission Information
Manuscripts should be submitted through the LIDSEN Submission System. Detailed information on manuscript preparation and submission is available in the Instructions for Authors. All submitted articles will be thoroughly refereed through a single-blind peer-review process and will be processed following the Editorial Process and Quality Control policy. Upon acceptance, the article will be immediately published in a regular issue of the journal and will be listed together on the special issue website, with a label that the article belongs to the Special Issue. LIDSEN distributes articles under the Creative Commons Attribution (CC BY 4.0) License in an open-access model. The authors own the copyright to the article, and the article can be free to access, distribute, and reuse provided that the original work is correctly cited.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). Research articles and review articles are highly invited. Authors are encouraged to send the tentative title and abstract of the planned paper to the Editorial Office (jept@lidsen.com) for record. If you have any questions, please do not hesitate to contact the Editorial Office.
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Vidhi is a Clinical yoga therapist; mentor for yoga therapy training in Krishnamacharya tradition. She holds a MSc in Public health from Kings College London.
Mirela Olympia Fagarasan Palmer
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Zhong-Ting (Justin) is a PhD student from Nanyang Technological University (Singapore). He holds BSc in Applied Chemistry and MSc in Environmental Engineering. He was a R&D researcher of NanoMaterials Technology Pte Ltd in Singapore (2006-2012). His current research interests are functional nanomaterials synthesis & design, and their application into environmental/chemical engineering. He has published near 60 SCI papers in Applied Catalysis B, Chemical Engineering Journal and so on with H-Index 23. He also serviced as reviewers over 40 Journals such as Appl. Catal. B, Water Research, Chem. Eng. J, ACS Applied Materials & Interface, etc. He was honored such as “The Bsic Research Achievment 1st Award of CIESC”, “The ZJUT Fund Breeding Distinguished Young Scholars” etc.
Rolf Teschke studied Medicine in Munich and Marburg, where he finished his MD thesis before starting a residency at the Department of Pathology, University of Marburg. Subsequently and with a fellowship of the Deutsche Forschungsgmeinschaft, he worked at the Bronx VA Hospital/Mount Sinai Hospital in New York during 1972–1975 together with Professor Charles S. Lieber and successfully isolated MEOS and expanded its characterization. Back in Germany, he was at the Heinrich-Heine University in Düsseldorf with a focus on alcoholic liver disease, biochemical drug studies, and clinical intoxications by halogenated aliphatic hydrocarbons, where he became a Professor of Medicine. In 1987, he was offered a chief position and appointed as Director of the Medical Department II, City Hospital Hanau, Teaching Hospital of the Johann Wolfgang Goethe University Frankfurt/Main. His clinical and research interests are on liver injury by drugs and herbs including causality assessment by RUCAM in close association with Dr. Gaby Danan in Paris. A perfect cooperation exists also with Professor Tran Dang Xuan of the University of Hiroshima, Japan. Finally, he is the author of more than 275 publications including books and book chapters, and he is editor in chief of scientific journals and member of editorial boards.