Guest Editors
Bo Yang, Kunming University of Science and Technology, China. Email: yangbo_ac@outlook.com
Chao Duan, Northwestern University, The United States. Email: chao.duan@northwestern.edu
Yaxing Ren, Warwick University, The United Kingdom. Email: yaxing.ren@warwick.ac.uk
Yixuan Chen, The University of Hong Kong, China. Email: yxchen_diana@foxmail.com
Jingbo Wang, Kunming University of Science and Technology, China. Email: JingboWang96@outlook.com
Summary
Based on "dual carbon targets", This Special Issue aims to give an effective contribution to highlight all solutions, methodologies, approaches, tools finalized to collect first-class research along this direction, focusing on the most recent investigations and studies on consumption and optimization strategies for renewable energy. Researchers and experts worldwide are invited to submit high-quality original research papers and review articles on subsequent potential topics.
Potential topics aims at covering themes including, but not limited to:
• Modelling and simulation of renewable energy system (Digital twin technique is popular)
• Output forecast for renewable energy system
• Application of optimization techniques such as meta-heuristic algorithms, reinforcement learning, and neural networks to renewable energy systems and grids
• Planning and dispatching of distributed power supply
• Fault diagnosis of renewable energy system, i.e., Wind, solar, fuel cells, and so on.
• Approaches for optimized economic operation of renewable energy systems and grids
• Stability and security analysis of renewable energy systems and grids
Keywords
Dual carbon targets, Renewable energy, Economic and efficient operation, System modelling, Planning and dispatching, Fault diagnosis, Power and load forecast
Published Papers
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