The rapid expansion of renewable energy sources (RES), particularly wind turbine (WT) and photovoltaic (PV) power, plays a crucial role in global efforts to mitigate climate change. As nations strive to meet their Paris Agreement commitments, increasing renewable penetration presents significant challenges due to the intermittency and variability of these energy sources. The unpredictability of renewable generation can lead to power imbalances, grid instability, and economic inefficiencies if not properly managed.
This special session will explore cutting-edge forecasting-based energy management techniques to ensure the stability, reliability, and efficiency of power systems with high RES integration. Accurate power output forecasting is critical for effective power system planning, operation, and market participation. Advanced forecasting models, including AI-driven, numerical weather prediction, and hybrid methods, enable more precise renewable generation predictions. These insights support unit commitment, economic dispatch, and demand-side response strategies, minimizing system imbalances and improving grid resilience.
Another approaches could be on energy storage system (ESS) such as battery and H2 storage and demand response (DR) as essential tools for mitigating forecast uncertainty. Multi-energy solutions can enhance grid flexibility, while DR programs enable adaptive consumption patterns that align with renewable availability. Additionally, smart grid technologies, AI-driven control systems, and real-time market mechanisms will be discussed to optimize energy management in this session.
Beyond technical advancements, the session will also examine market and policy frameworks necessary for large-scale adoption of forecasting-based management. Discussions will address regulatory barriers, economic incentives, and cybersecurity concerns in AI-driven energy systems.
By bringing together experts in power systems, forecasting, and energy management, the session will foster discussions on innovative solutions for integrating high levels of RES while ensuring a secure, sustainable, and low-carbon energy future. Accordingly, this special session will focus on key research topics but is not limited addressing these challenges in future power systems.
This session covers the following research area (but is not limited to them):
• Planning and Operation of Renewable-Integrated Power Systems
• Renewable Power Output Forecasting and Its Utilization
• Forecast-Based Energy Management for Supply & Demand Balancing
• Unit Commitment and Economic Dispatch with Forecasting
• Energy Storage Optimization and Grid Flexibility
• Forecast-Based Demand Response and Smart Grid Control
• Market and Policy Implications of Forecasting-Based Energy Management
• Multi-Energy Systems and Hybrid Forecasting Models
• Computational Challenges and Cybersecurity in Forecasting-Based Energy Management
Assoc. Prof. Nguyen Duc Tuyen, is currently with Hanoi University of Science and Technology, Vietnam as Head of Power Grid and Renewable Energy Lab, and an Adjunct Associate Professor at Shibaura Institute of Technology, Japan. He received his Master’s degree in 2009 and a PhD in 2012 at Shibaura Institute of Technology. Before working in Vietnam, he worked and taught at Chiba University, Tokyo University of Science and The National Institute of Industrial Science and Technology in Japan until 2018. In July 2018, Dr. Tuyen established 100RELab Research Group in HUST, Vietnam, with nearly 40 members specializing in renewable energy research, smart grid, and providing energy consulting services. Dr. Tuyen built a network of students who conducted research and organized the annual Student Forum. Dr. Tuyen published more than 200 journal and conference papers. He has been an active reviewer of IEEE, IET, MDPI, IEEJ, Springer, Elsevier, etc., and has reviewed hundreds of papers since 2009. His current research direction is on renewable energy, smart grid, energy storage, electric vehicles, and energy policy. Dr. Tuyen is a Clean EDGE Asia Fellow.
Dr. Takeshi Kato is a Professor of Institute of Materials and Systems for Sustainability at Nagoya University, Japan. was born in 1968. He received the B.S. degree in 1991, the M.S. degree in 1993 and Doctor of Eng. degree in 1996, all in Electrical Engineering from Nagoya University Nagoya, Japan. He has been working on design and development of future electric power system with high penetration renewable energies since 1996, and published many research papers regarding the impact assessment of high penetration of renewable energies on electric power system, the proposal of planning and control methods for future electric power system. He is currently a vice chair of planning executive committee in Japan Society of Energy and Resources (JSER).
Assoc. Prof. Nguyen Hong Phuong received the Ph.D. degree from the Eindhoven University of Technology (TU/e), the Netherlands in 2010. During his one-year sabbatical leave in 2019, he took up a group leader position of the Sustainable Energy Systems (SES) group of the Luxembourg Institute of Science and Technology (LIST). Since January 2020, he has been back to TU/e as an associate professor in the Electrical Energy System (EES) group. Dr Phuong Nguyen has committed his research effort to advance digital power and energy systems.
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Please send your abstract/full paper to Easychair Submission System (.pdf only), Any questions, please feel free to contact with Conference Secretary , via cpese@zhconf.ac.cn.
Submission Deadline: April 25th, 2025
Notification Date: May 25th, 2025