Track 9

1. Organizers:

Chair: Fangyu Wu (武芳宇), Xi’an Jiaotong-Liverpool University (西交利物浦大学)

Co-Chair: Yuhao Zhu (朱昱豪), Qinghai University (青海大学)

Co-Chair: Xiaoyang Chen (陈晓阳), Xi’an Jiaotong-Liverpool University (西交利物浦大学)

2. Abstract:

English: This special session focuses on frontier theories, key technologies, and representative applications of artificial intelligence in electrical engineering. It aims to explore how AI-based methods can empower core tasks such as power system analysis, operational control, equipment diagnosis, energy management, and renewable energy integration. With the rapid development of new power systems, challenges including massive data, high-dimensional coupling, and strong uncertainty have created broad opportunities for machine learning, deep learning, reinforcement learning, and intelligent optimization. This session seeks to provide an interdisciplinary platform for academic exchange, promote the deep integration of artificial intelligence and electrical engineering, and accelerate both theoretical innovation and practical deployment.

中文: 本专题分论坛聚焦人工智能在电气工程中的前沿理论、关键技术与典型应用，旨在探讨人工智能方法如何赋能电力系统分析、运行控制、设备诊断、能量管理及新能源消纳等核心问题。随着新型电力系统加快建设，海量数据、高维耦合、强不确定性等特征对传统方法提出了新的挑战，也为机器学习、深度学习、强化学习和智能优化等技术提供了广阔应用空间。本论坛希望搭建跨学科交流平台，促进人工智能与电气工程的深度融合，推动相关理论创新与工程落地。

3. Topics:

• Applications of Artificial Intelligence in Power System Analysis and Operation / 人工智能在电力系统分析与运行中的应用
• Machine Learning-Based Load Forecasting and Renewable Energy Prediction / 机器学习驱动的负荷预测与新能源预测
• Condition Monitoring, Fault Diagnosis, and Health Management of Electrical Equipment / 电力设备状态监测、故障诊断与健康管理
• Reinforcement Learning and Intelligent Optimal Control in Electrical Engineering / 强化学习与智能优化控制在电气工程中的应用