English: Background: With the global energy transition accelerating, the high penetration of renewable energy poses severe challenges to power system stability due to its inherent intermittency and volatility. The research team led by Dr. Bai Liu at the School of Electrical Engineering, Harbin Institute of Technology, focuses on the interdisciplinary frontier of atmospheric science and electrical engineering, long-term engaged in the research of wind/solar resource characteristics, renewable energy power forecasting, and power grid resilience enhancement, dedicated to innovatively integrating atmospheric science theories into power system regulation practices. This forum relies on the team's deep accumulation in meteorological big data mining, multi-scale numerical forecast assimilation, and power system operation optimization, aiming to build a cross-disciplinary platform to explore key technical paths for atmospheric science to empower new power systems. Objective: To gather experts and scholars in atmospheric science, electrical engineering, and renewable energy, promote the deep integration of meteorological information with power planning, dispatching, and operation and maintenance, enhance efficient renewable energy consumption and proactive grid defense capabilities, and help build a high-resilience, low-risk smart energy system. Research Focus: ① AI-based meteorological-power coupling precision forecasting models; ② Power system vulnerability assessment and adaptive control under extreme weather; ③ Long-term evolution of wind/solar resources and power source layout optimization; ④ Electricity market ancillary service mechanisms considering atmospheric conditions.

中文: 背景：全球能源转型加速推进，新能源发电占比持续攀升，其固有的间歇性、波动性对电力系统安全稳定运行构成严峻挑战。哈尔滨工业大学电气学院刘佰团队聚焦大气科学与电气工程的交叉前沿，长期从事风、光资源特性认知、新能源功率预测及电网韧性提升等研究，致力于将大气科学理论创新性融入电力系统调控实践。本论坛依托该团队在气象大数据挖掘、多尺度数值预报同化及电力系统运行优化等领域的深厚积累，旨在搭建跨学科交流平台，探讨大气科学赋能新型电力系统的关键技术路径。 目标：凝聚大气科学、电气工程、可再生能源等领域专家学者，推动气象信息与电力规划、调度、运维全链条深度融合，提升新能源高效消纳与电网主动安全防御能力，助力构建高韧性、低风险的智慧能源体系。 研究热点：①基于AI的气象-功率耦合精准预测模型；②极端天气下电力系统脆弱性评估与自适应调控；③风光资源中长期演变规律与电源布局优化；④考虑大气条件的电力市场辅助服务机制。