Assist Prof Dr. Xiaohe Yan | Network Operation Awards | Best Researcher Award
Assist Prof Dr. Xiaohe Yan, North China Electric Power University, China
Dr. Yan is an accomplished academic and researcher in the energy sector, holding a Ph.D. from the University of Bath, where he specialized in energy storage operation and planning, smart energy systems, and electricity markets. Currently serving as an Assistant Professor at North China Electric Power University, his innovative research addresses critical challenges in sustainable energy and carbon emissions, with publications gaining recognition in reputable journals. Dr. Yan’s academic journey is marked by excellence, including distinctions in his studies and prestigious awards such as the Chinese Government Scholarship and recognition as an exceptional reviewer for IEEE Transactions on Sustainable Energy.
Professional Profile:
Google Scholar
Suitability for the Award
Assist. Prof. Dr. Xiaohe Yan is highly suitable for the Research for Best Researcher Award due to his exemplary academic achievements, impactful research, and recognized contributions to the field of energy systems and electricity markets. His work in energy storage, smart energy systems, and market dynamics is at the cutting edge of research that addresses global challenges in energy sustainability and efficiency.
Academic Credentials:
Dr. Yan earned his Ph.D. from the University of Bath in 2019 under the supervision of Furong Li, a prominent figure in energy systems research. His academic journey is marked by excellence, having achieved a distinction and ranking 1st in his MSc program at the University of Bath.
His undergraduate degree in Engineering from Xi’an University of Technology provided a solid foundation for his subsequent research in energy systems.
Research Interests and Contributions:
Dr. Yan’s research interests are at the forefront of the energy sector, focusing on Energy Storage Operation and Planning, Smart Energy System Operation and Economics, and Electricity Markets. These areas are critical for advancing sustainable energy solutions and optimizing the integration of renewable energy into the grid.
His recent publications, including “Energy trade-offs in coupled ICM and electricity market under dynamic carbon emission intensity” and “P2H Modeling and operation in the microgrid under coupled electricityāhydrogen markets,” demonstrate his innovative approach to addressing complex challenges in energy markets and carbon emissions. Although still early in his career, his work is already gaining traction, evidenced by citations in reputable journals.
Professional Experience:
Dr. Yan currently serves as an Assistant Professor at North China Electric Power University, a leading institution in energy research. Before this, he held a postdoctoral fellowship at the State Key Laboratory of Internet of Things for Smart City at the University of Macau, where he worked under the guidance of Yonghua Song, further honing his expertise in smart energy systems.
His career trajectory reflects a strong commitment to both teaching and research, with a focus on advancing knowledge in sustainable energy systems.
Honors and Recognition:
Dr. Yan has received several prestigious awards and scholarships, including the Graduate School Scholarship funded by the University of Bath and the Chinese Government Scholarship (CSC). These accolades underscore his academic excellence and the potential impact of his research.
He was recognized as an exceptional reviewer for the IEEE Transactions on Sustainable Energy in 2020, highlighting his engagement with the academic community and his expertise in the field.
Publication Top Notes:
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Title: Dynamic Pricing for Responsive Demand to Increase Distribution Network Efficiency
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Year: 2017
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Cited by: 45
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Title: Robust Optimization-Based Energy Storage Operation for System Congestion Management
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Year: 2019
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Cited by: 43
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Title: Cyber-Resilient Multi-Energy Management for Complex Systems
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Year: 2021
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Cited by: 35
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Title: Network Pricing for Customer-Operated Energy Storage in Distribution Networks
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Year: 2018
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Cited by: 34
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Title: Peer-to-Peer Energy Sharing with Dynamic Network Structures
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Year: 2021
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Cited by: 32
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