Special Session XII: Artificial intelligence empowers the power system 人工智能赋能电力系统
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Session Chair: Prof. Ying Xu, Harbin Institute of Technology, China |
Co-Chair: Assoc. Prof. Zhongkai Yi, Harbin Institute of Technology, China |
Summary:
The increasing integration of renewable energy and the growing complexity of power systems pose new challenges to conventional AI methods in reasoning, generalization, and multi-source information fusion. This session focuses on foundation models, large language models, generative AI, and AI agents for modern power systems. It targets researchers and engineers in power, energy, and AI, aiming to exchange emerging methodologies and practical experience and to advance their applications in forecasting, operation, control, and decision-making.
随着新能源规模化接入和电力系统运行复杂度持续提升，传统人工智能方法在复杂推理、跨场景泛化和多源信息融合方面面临新的挑战。本专题聚焦基础模型、大语言模型、生成式人工智能与智能体在新型电力系统中的创新应用，面向电力系统、人工智能及能源领域科研人员和工程技术人员，旨在交流前沿方法与工程实践，推动大模型技术与电力系统预测、运行、控制和决策的深度融合。
Topics:
1. Foundation Models and Large Language Models for Power System Modeling and Applications（基础模型与大语言模型在电力系统中的建模与应用）
2. Generative AI for Renewable Energy and Load Forecasting（生成式人工智能驱动的新能源与负荷预测）
3. Large‑Model‑Driven Power System Operation Optimization and Intelligent Decision‑Making（大模型驱动的电力系统运行优化与智能决策）
4. AI Agents and Multi‑Agent Collaboration for Power Systems（面向电力系统的智能体与多智能体协同技术）
5. Large Models for Virtual Power Plants, Integrated Energy Systems, and Electricity Markets（大模型在虚拟电厂、综合能源系统与电力市场中的应用）
6. Trustworthiness, Explainability, Security, and Deployment of Foundation Models in Power Systems（电力大模型的可信性、可解释性、安全性与工程部署）
Keywords:
Power Systems（电力系统）
Artificial Intelligence（人工智能）
Renewable Energy（新能源）
Virtual Power Plants（虚拟电厂）
Optimal Scheduling（优化调度）
Operation and Control（运行控制）
Submission Deadline: September 20, 2026
