人民财讯9月8日电，国家发展改革委、国家能源局发布《关于推进"人工智能+"能源高质量发展的实施 意见》，提出围绕能源保供和绿色低碳转型需求，推进人工智能技术在虚拟电厂（含负荷聚合商）、分 布式储能、电动汽车车网互动等灵活性调节资源中的应用，提升负荷侧群控优化和动态响应能力；加强 人工智能技术在新型储能与电力系统协同优化调度以及全生命周期安全中的应用，推动可再生能源制氢 生产工艺智能寻优。强化人工智能技术赋能能源生产过程中的节能和碳排放管理，提升多能互补综合能 源系统电、热、冷、气联供的综合能效和降碳水平。推动人工智能在零碳园区、智能微电网、算电协同 中的应用，提升源网荷储一体化智能运行水平，促进新能源就地消纳。 （原标题：两部门：推进人工智能技术在虚拟电厂等灵活性调节资源中的应用） ...

Core Viewpoint - The National Development and Reform Commission and the National Energy Administration have issued implementation opinions to promote the integration of artificial intelligence (AI) with the energy sector, aiming for world-leading AI technologies and applications in energy by 2030 [1][2][5]. Group 1: Overall Requirements - The initiative is guided by Xi Jinping's thoughts and aims to enhance the integration of AI with the energy sector, focusing on innovative applications and improving the safety and efficiency of energy systems [3][4]. - By 2027, a preliminary innovation system for AI and energy integration will be established, with significant breakthroughs in core technologies and widespread applications [4]. Group 2: Accelerating Energy Application Scenarios - AI will be applied in various energy sectors, including smart grid management, energy resource exploration, and new energy forecasting, enhancing operational efficiency and safety [6][8]. - Specific applications include intelligent power supply forecasting, grid diagnostics, and emergency response systems [7][8]. Group 3: Key Technology Supply - The focus is on overcoming technical bottlenecks in the energy sector, such as data isolation and high energy consumption of computing [26]. - Efforts will be made to build high-quality data sets and enhance computational support for AI applications in energy [26]. Group 4: Safeguard Measures - Local energy authorities and relevant enterprises are encouraged to establish mechanisms to promote the development of AI in the energy sector [28]. - Collaboration between enterprises, research institutions, and universities is emphasized to foster innovation and talent development in AI and energy [30].

文 | 国家能源局 9月4日，国家发展改革委、国家能源局发布《 关于推进"人工智能+"能源高质量发展的实施意见 》。 推动五个以上专业大模型深度应用， 挖掘十个以上重点示范项目 实施意见指出，到2027年，能源与人工智能融合创新体系初步构建，算力与电力协同发展根基不断夯实，人工智能赋能能源核心技术取得显著 突破，应用更加广泛深入。推动五个以上专业大模型在电网、发电、煤炭、油气等行业深度应用，挖掘十个以上可复制、易推广、有竞争力的重 点示范项目，探索百个典型应用场景赋能路径，培育一批能源行业人工智能技术应用研发创新平台，制定完善百项技术标准，培养一批能源与人 工智能复合型人才，探索建立能源领域人工智能技术研发应用金融支撑体系，形成符合我国国情的能源领域人工智能技术创新发展模式，能源领 域智能化成效初显。 推动人工智能技术在 虚拟电厂、分布式储能、V2G等应用 实施意见强调，加快能源应用场景赋能，包括人工智能+电网、 人工智能+能源新业态、人工智能+新能源、人工智能+水电、人工智能+火电、 人工智能+核电、人工智能+煤炭、人工智能+油气。 人工智能+能源新业态。 围绕能源 保供和绿色低碳转型需求，推进人工智能技术 ...