Track 28: Large Models, Generative AI, and Autonomous Agents in Energy Systems 大模型、生成式人工智能与自主智能体在能源电力中的应用
Organizers / 组织者
Yue Cao (Associate Professor)
曹越(副教授)
Southeast University / 东南大学
Xu Yang (Associate Professor)
杨旭(副教授)
Southeast University / 东南大学
Cunlei Li (Senior Engineer)
李存磊(高级工程师)
Jiangsu Guoxin Research Institute Co., Ltd. / 江苏省国信研究院有限公司
Yifan Zhang (Assistant Professor)
张祎凡(助理教授)
City University of Hong Kong (Dongguan) / 香港城市大学(东莞)
Abstract / 摘要
English: This forum focuses on the innovative integration of large models, generative AI, and autonomous agents in the energy and power sector, aiming to explore how cutting-edge AI technologies can reshape the perception, decision-making, and control paradigms of energy systems. The topics cover critical scenarios such as intelligent power load forecasting, auxiliary decision-making for grid operation, automatic equipment fault diagnosis, collaborative scheduling for virtual power plants, and energy market interaction analysis. It also delves into core challenges including model trustworthiness, data privacy, and real-time response. Bringing together leaders from industry, academia, and research, this forum shares the latest research achievements to jointly promote the intelligent upgrading and green, low-carbon transformation of energy and power systems.
中文: 本论坛聚焦大模型、生成式人工智能与自主智能体在能源电力领域的创新融合,旨在探讨如何借助前沿AI技术重塑能源系统的感知、决策与调控范式。议题涵盖电力负荷智能预测、电网运行辅助决策、设备故障自动诊断、虚拟电厂协同调度及能源市场交互分析等关键场景,并深入研讨模型可信度、数据隐私与实时响应等核心挑战。论坛汇聚产学研领军者,分享最新研究成果,共促能源电力系统的智能化升级与绿色低碳转型。
Topics / 主题
- Energy Large Models (ELMs)
- Intelligent Scheduling Agents
- Knowledge Reasoning in Power Systems
- AI-Assisted Operation and Decision-Making
- Large Models for Transport-Energy Integration
- Large Models for Power Market Trading
- 能源大模型
- 智能调度代理
- 知识推理
- AI辅助运行与决策
- 交能融合大模型
- 电力市场交易大模型
Invited Speakers / 拟邀报告人
- Xu Yang (Associate Professor, Southeast University)
- Yifan Zhang (Assistant Professor, City University of Hong Kong, Dongguan)
