In this talk, the recent advancements in health monitoring and optimal management of renewable energy assets, with a focus on lithium-ion batteries in electric vehicles and energy storage systems will be presented. the advanced battery management system, which integrates state-of-the-art AI and IoT techniques for real-time battery health monitoring and anomaly detection will be introduced. This system addresses key challenges, including data heterogeneity, AI explainability, scalability, data quality, and privacy concerns. Additionally, an overview of our recent contributions to enhancing the robustness of energy systems for net-zero emissions under extreme events, as well as the application of generative AI in industrial settings will be presented.本次讲座将介绍一种面向任务的、基于大语言模型的AI智能体框架，用于电网决策支持。首先，我们将回顾传统人工智能技术在电力系统运行与规划中的应用。随后，将展示具备卓越决策能力的AI智能体决策框架，并深入探讨多智能体系统的协同机制如何共同完成复杂任务。最后，通过配电网状态估计与可再生能源预测的案例研究，具体演示AI智能体框架的实际应用效果。