Panel Session
"Artificial Intelligence in Offshore Wind and Hydrogen Systems: Smart Control and Integration Strategies"
As the world moves towards a carbon-neutral future, offshore wind power and hydrogen energy are becoming indispensable elements of the clean energy landscape. Offshore wind offers a vast and reliable source of renewable electricity, while hydrogen provides an essential solution for storing excess renewable energy and addressing the intermittency of wind power. Together, these technologies have the potential to reshape global energy systems by enabling the large-scale deployment of renewable energy and facilitating a clean hydrogen economy.
Artificial Intelligence (AI) is playing a transformative role in optimizing the integration of offshore wind and hydrogen systems. By harnessing advanced machine learning techniques and data-driven insights, AI can significantly enhance wind energy forecasting, optimize hydrogen production and storage, and ensure smooth integration with the power grid. AI-powered systems enable real-time monitoring, predictive analytics, and smart control, leading to greater efficiency, resilience, and reliability in both energy production and distribution.
However, the integration of AI into offshore wind and hydrogen systems also presents several challenges. These include optimizing energy flows, managing the variability of renewable energy generation, and scaling AI solutions across diverse and often complex energy markets. Overcoming these technical, economic, and regulatory hurdles is crucial to realizing the full potential of AI in transforming the energy sector. This session will delve into how AI is being applied to optimize offshore wind and hydrogen systems, focusing on smart control strategies, real-time data processing, and seamless integration into the grid, while addressing the challenges and opportunities that lie ahead.
Submission Method
Please submit your paper via https://www.zmeeting.org/submission/pset2025. Please make sure you've registered an account first.
Organizers
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Peipei Yu is a Lecturer and Master Supervisor at the Offshore Wind Power Technology Engineering Research Center of the Ministry of Education, Shanghai University of Electric Power. She received her Bachelor and Master degrees of Mathematics at Zhejiang University in 2016 and 2019, respectively. In 2024, she obtained a Ph.D. in Electronic and Computer Engineering from the University of Macau. She has also served as a visiting scholar at Tsinghua University. Her research primarily focuses on the application of Artificial Intelligence (AI) in the fields of energy internet, safety control of offshore wind power, and related areas. She has led two provincial and ministerial-level projects. As the first or corresponding author, she has published more than 10 academic papers in international SCI-indexed journals, including IEEE Transactions on Power Systems and IEEE Transactions on Smart Grid, with one of her papers being an ESI highly cited article. Based on her research outcomes, she won the only Innovation Award and the First Prize in the 2021 South China Grid AI Power Dispatch Competition, as well as the Best Paper Award at the 2021 iSPEC Conference. |
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Feng Jia, associate professor, received the PhD in Electrical Engineering from Shanghai Jiao Tong University. He is currently employed at the Offshore Wind Power Research Institute, Shanghai University of Electric Power, as well as the Engineering Research Center of Offshore Wind Technology Ministry of Education. |
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Jiaqi Ruan, associate professor, Sichuan University, China. He received the Ph.D. degree from The Chinese University of Hong Kong in 2023. He was a Distinguished Postdoctoral Research Fellow in The Hong Kong Polytechnic University. Currently, he is an Associate Professor with the College of Electrical Engineering, Sichuan University. His research interests include smart grid, AI, cyber-physical security, climate resilience, and risk management. |
