AI-Driven Forecasting and Optimization for Smart Microgrids | 面向智能微电网的人工智能预测与优化
With the large-scale integration of renewable energy and the rapid development of distributed power systems, smart microgrids play a vital role in enhancing energy efficiency, improving system flexibility, and supporting the transition toward low-carbon energy. However, the inherent uncertainty and complexity of microgrids pose significant challenges to forecasting and optimization. Advances in artificial intelligence provide powerful tools to address these issues, enabling breakthroughs in load and renewable energy forecasting, energy management optimization, storage scheduling, and multi-energy coordination. This forum aims to bring together leading experts and scholars worldwide to share the latest research progress, explore frontier challenges, and discuss future trends in AI-driven forecasting and optimization for smart microgrids, fostering synergy between academic research and engineering practice.
微电网在提升能源利用效率、增强系统灵活性和推动绿色低碳转型方面发挥着重要作用。然而，其高度不确定性和复杂性对预测与优化提出了新的挑战。人工智能技术为应对这些问题提供了强有力的工具，能够在负荷与可再生能源预测、能量管理策略优化以及多能协同方面展现出巨大潜力。本分论坛旨在汇聚国内外专家学者，交流预测与优化的最新研究进展，探讨人工智能在实际应用中的前沿问题与未来趋势，推动学术研究与工程实践的深度融合。
Xinxiong Jiang | Wuhan University | Assistant Researcher
Xinxiong Jiang received the B.Eng. degree in Electrical Engineering from Wuhan University in 2019 and the Ph.D. degree in Electrical Engineering from Wuhan University in 2024, under the supervision of Prof. Jian Xu and Prof. Yuanzhang Sun. His research interests include power system situational awareness, digital grid, and intelligent operation and control of power systems. Over the past three years, he has published 11 papers in SCI/EI-indexed journals, filed 10 national invention patents, and registered 7 software copyrights. He has also been a principal participant in 3 projects of the National Key R&D Program of China, 2 integrated projects funded by the National Natural Science Foundation of China, 1 major science and technology project of Hubei Province, and 8 projects in total.
姜新雄，2019年于武汉大学获工学学士学位，2024年于武汉大学获工学博士学位，师从徐箭教授和孙元章教授，主要研究方向为电力系统态势感知、数字化电网以及电力系统智能运行与控制。近三年发表SCI/EI期刊论文11篇，申请国家发明专利10项，注册软件著作权7项，主研参与国家重点研发计划3项、国家自然科学基金集成项目2项、湖北省科技重大专项1项等项目8项。
Tingting Zhang | Shandong University | Postdoctoral Researcher
Dr. Tingting Zhang received the B.S. and Ph.D. degrees in electrical engineering from Shandong University, Jinan, China, in 2017 and 2023. She currently conducts her postdoctoral research in the School of Control Science and Engineering, Shandong University. Her current research interests include distribution system state estimation, state awareness of integrated energy systems, and their optimal scheduling. She has published more than 20 academic papers and obtained over 10 authorized technical invention patents. As a core member, she participated in more than 10 scientific research projects, such as the Smart Grid-National Science and Technology Major Project and the National Natural Science Foundation.
张婷婷，山东大学控制工程学院博士后。2017年与2023年与山东大学分别获工学学士与工学博士学位。研究方向包括配电网态势感知、综合能源系统态势与运行优化等。发表SCI/EI论文20余篇篇，授权中国发明专利10余项。先后主持中国博士后科学基金面上项目、1项山东省自然科学基金青年项目1项，作为主要参与人员参与智能电网国家重大科技专项课题、国家自然科学基金面上项目等10余项纵、横向科研项目。
Xuan Wang | Tianjin University of Technology | Lecturer
In response to the demands of the national renewable energy strategy and the dual-carbon targets, the research primarily focuses on the key technologies for situational awareness and operational optimization of smart distribution networks and integrated energy systems. A total of 20 high-level academic papers have been published, including 8 SCI-indexed papers in Q1 and Q2 journals, with 1 recognized as an ESI Highly Cited Paper. Additionally, 2 invention patents have been granted. Participation as a core member has occurred in 3 National Key R & D Programs, 2 projects funded by the National Natural Science Foundation of China. The First Prize of the Provincial and Ministerial-level Science and Technology Progress Award has been awarded.
面向国家可再生能源战略需求和双碳目标，主要开展智能配电网与综合能源系统态势感知与运行优化的关键技术研究。共发表高水平学术论文20余篇，其中SCI一二区8篇、ESI高被引论文1篇；授权发明专利2项。作为核心成员参与国家重点研发计划3项、国家自然科学基金项目2项。获省部级科技进步一等奖1项。
Sui Quan | Zhengzhou University | Lecturer
Doctoral Supervisor, National New Talent Program Recipient, Henan Province High-Level Talent, Top 2% Scientist Globally, Top 1% Highly Cited Scholar on CNKI. Research focuses on power system and integrated energy system layout planning, optimization dispatch, and resilience restoration. Published over 70 SCI/EI papers, led 3 national-level projects including the National Natural Science Foundation and National Key R&D Program, and managed 5 enterprise-commissioned projects.
随权，博士生导师，国家博新计划入选者，河南省高层次人才，全球前2%顶尖科学家，中国知网前1%高被引学者。研究方向为电力系统及综合能源系统布局规划、优化调度及韧性恢复，发表SCI/EI论文70余篇，主持国家自然科学基金、国家重点研发计划等国家级课题3项，企业横向委托项目5项目。
Yinghao Ma | Hefei University of Technology | Associate Professor
Associate Professor at Hefei University of Technology, PhD/Master's Supervisor. Primarily engaged in research on optimization dispatch and operational risk analysis of new energy power systems, as well as optimization planning and reliability assessment of power systems. Has led or participated in over 10 national, provincial/ministerial, and university-industry collaborative projects. Published more than 20 SCI/EI papers as first or corresponding author.
马英浩，合肥工业大学副教授、博士/硕士生导师，主要从事新能源电力系统优化调度与运行风险分析、电力系统优化规划与可靠性评估相关研究工作，主持或参与国家级、省部级和校企合作项目10余项，以第一或通讯作者发表SCI/EI论文20余篇。
Keting Hu | Southwest Jiaotong University | Associate Researcher
Master's Supervisor, mainly engaged in research on converter system state detection and monitoring, state early warning, fault-tolerant control, and suspension system control. Has led 4 provincial or national-level projects including the National Natural Science Foundation, Sichuan Provincial Natural Science Foundation, and Postdoctoral Science Fund. Participated in multiple projects such as the Key Project of the National Natural Science Foundation, High-speed Rail Joint Fund, and Sichuan Youth Science & Technology Innovation Team Special Program. Published 21 SCI/EI papers, authorized 4 invention patents, and received 2 best report/poster awards at academic conferences. Served as Publicity Chair of the 25th International Maglev Conference, Guest Editor of the journal "Energies", and reviewer for multiple IEEE journals.
胡轲珽，硕士生导师，主要从事变流系统状态检测监测、状态预警，故障容错控制，悬浮系统控制等研究。主持国家自然科学基金，四川省自然科学基金，博士后科学基金面上项目等省部级以上项目4项，参研国家自然科学基金重点项目，高铁联合基金，四川省青年科技创新研究团队专项计划等项目多项，研究成果发表SCI/EI论文21篇，授权发明专利4项，2次获得学术会议的优秀报告/墙报。担任25th International Maglev Conference的Publicity Chair，SCI期刊“Energies”客座编辑以及多个IEEE汇刊的审稿人。
Chanjuan Zhao | Anhui University | Lecturer
赵婵娟，讲师
Yucui Wang | North China Electric Power University (Baoding) | Lecturer
Wang Yucui, Ph.D., is a Lecturer in the Department of Electrical Power Engineering at North China Electric Power University (Baoding). She presides over one Youth Project of the Natural Science Foundation of Hebei Province, one Youth Project of Scientific Research for Institutions of Higher Education in Hebei Province, and one General Project of Central Universities. As a key researcher, she participates in one Key Project of the National Natural Science Foundation of China and three Science and Technology Projects of the State Grid Corporation of China Headquarters. Her main research focuses on integrated energy resilience/reliability optimization and virtual power plants. In the past three years, she has published more than 10 SCI-indexed papers as the first author or corresponding author and holds two authorized patents.
王玉翠，博士，华北电力大学（保定）电力工程系讲师，主持河北省自然科学基金青年项目1项、河北省高等学校科学研究青年项目1项，中央高校面上项目1项，以主研人参与国家自然科学基金重点项目1项、国家电网公司总部科技项目3项。主要从事综合能源韧性/可靠性优化、虚拟电厂等方面的研究，近三年以第一作者或通信作者发表SCI论文10余篇，授权专利2项。