Special Session VIII: AI-powered energy forecasting, control and operation  in smart grids

 

Session Chair: Researcher Wei Deng, Institute of Electrical Engineering, Chinese Academy of Sciences, China

 

 

Summary: 

The rapid expansion of renewable and distributed energy is reshaping modern power systems, with a surge in demand for technologies such as intelligent prediction, control, and operation. As a highly interconnected network physical system, the smart grid requires the use of advanced technology to maintain the stability and operational efficiency of the power grid. This topic is aimed at researchers and developers of energy prediction, control, and operation technologies in smart grids. We are soliciting original research related to artificial intelligence, and particularly encourage reports on actual deployment in real smart grid environments, as well as contributions made by new methods, practical implementation, and system level integration.

 

可再生能源和分布式能源的快速扩张正在重塑现代电力系统，智能预测、控制和运行等技术需求激增。智能电网作为高度互联的网络物理系统，需要利用先进技术保持电网的稳定性和运行效率。本专题面向智能电网中能源预测、控制和运行技术研究和开发人员，征集人工智能相关原创研究，特别鼓励在现实智能电网环境中实际部署的相关报道，以及新方法、实际实施和系统级集成所作出的贡献。

 

Topics of interest include, but are not limited to:

1. Electricity load forecasting （电力负荷预测）
2. Renewable generation prediction （可再生能源发电量预测）
3. Forecasting under uncertainty using data-driven methods （不确定性数据驱动方法预测）
4. Intelligent control of AC or DC microgrid （交直流微电网智能控制）
5. Optimize operation and aggregate interaction in smart grids （智能电网优化运行和聚合互动）

Keywords:

Smart Grid （智能电网）

AI (人工智能)

Forecasting （预测）

Control （控制）

Operation （运行）

Microgrid （微电网）

 

Submission Deadline: October 10, 2026