Track 14: AI-Driven Optimization in Smart Grids and Energy Systems 智能电网与能源系统中的AI驱动优化
Organizers / 组织者
Lecturer, School of Electrical and Information Engineering, Anhui University of Science and Technology
讲师, 安徽理工大学电气与信息工程学院
Associate Professor, School of Electrical Engineering, East China Jiaotong University
副教授, 华东交通大学电气学院
Lecturer, School of Mechanical and Electrical Engineering, Huainan Normal University
讲师, 淮南师范学院机械与电气工程学院
Abstract / 论坛简介
English: With the high proportion integration of renewable energy, the increasing complexity of power systems, and the diversification of user demands, traditional energy management methods are facing significant challenges. Artificial Intelligence (AI) provides revolutionary optimization tools for building more efficient, flexible, and resilient smart grids and energy systems. Based on this, this special session aims to gather experts and scholars in related fields to exchange ideas and deeply explore cutting-edge theories, innovative algorithms, and practical applications of AI in energy system optimization. It seeks to promote the deep integration of AI technology with smart grids and energy systems, accelerating the transformation towards intelligent energy.
中文: 随着可再生能源高比例接入、电力系统复杂性剧增及用户需求多元化，传统能源管理方法面临巨大挑战。人工智能（AI）为构建更高效、灵活、韧性的智能电网与能源系统提供了革命性的优化工具。本次专题会议正是在此基础上进行广泛研究，旨在聚集相关领域的专家学者交流意见，深入探讨AI在能源系统优化中的前沿理论、创新算法与实际应用，推动AI技术与智能电网、能源系统的深度融合，加速智慧能源转型。
Topics / 主题范围
- 高精度负荷与可再生能源出力预测 / High-precision Load and Renewable Energy Output Forecasting
- 源网荷储协同优化调度 / Coordinated Optimal Dispatch of Generation-Grid-Load-Storage
- 分布式能源与微网智能管理 / Intelligent Management of Distributed Energy and Microgrids
- 电力市场交易策略优化 / Optimization of Electricity Market Trading Strategies
- 分布式AI（如联邦学习）在能源优化中的应用 / Applications of Distributed AI (e.g., Federated Learning) in Energy Optimization