昨天（10月24日），《全球能源低碳转型发展2030苏州愿景》在2025国际能源变革论坛上正式发 布，呼吁世界各国在未来5年，进一步加强国际合作和集体行动，共同应对挑战，开创全球能源转型新 格局。 《全球能源低碳转型发展2030苏州愿景》提出6点愿景：一、夯实安全根基，保障能源供应，维护 国际能源市场稳定；二、激发创新活力，深化体制改革，有序推进新能源产业链合作；三、释放转型势 能，发展低碳能源，大幅增加可再生能源在全球能源结构中的比例；四、倡导以人为本，提升能源可 及，降低无电人口比例，致力于到2030年确保人人获得负担得起的、可靠的现代能源服务；五、践行多 边主义，畅通要素流动，反对不合理绿色贸易壁垒，支持开放、公平、竞争、非歧视和自由的国际能源 市场；六、动员全球资本，创新融资工具，有效填补全球能源转型资金缺口。 《全球能源低碳转型发展2030苏州愿景》指出，此愿景始于苏州，属于世界。呼吁世界各国携手推 进全球清洁能源发展与国际合作，把握能源系统向新阶段转型重构的关键期，努力构建能源绿色低碳转 型共赢新模式，持续提高清洁能源在整体能源结构中的比重，共同推动2030年全球新能源发电总装机容 量比2024年 ...

Core Viewpoint - The implementation opinion released by the National Development and Reform Commission and the National Energy Administration aims to establish a preliminary integration innovation system between energy and artificial intelligence by 2027, enhancing the collaboration between computing power and electricity, and achieving significant breakthroughs in core technologies empowered by AI in the energy sector [1][3]. Group 1: Overall Requirements - The initiative is guided by Xi Jinping's thoughts and aims to deepen the integration of AI with the real economy, focusing on expanding application scenarios in the energy sector and enhancing the technological level of AI innovation [2]. - The goal is to improve the safety, reliability, and efficiency of energy systems, ensuring stable energy supply and supporting green and low-carbon transitions [2]. Group 2: Goals by 2027 - By 2027, the integration innovation system will be established, with significant breakthroughs in AI technologies applied to energy, including the deployment of over five specialized large models in various energy sectors [3]. - The initiative aims to identify over ten replicable and competitive demonstration projects and explore hundreds of typical application scenarios, fostering a batch of AI technology application R&D platforms in the energy sector [3]. Group 3: Application Scenarios - AI applications in the power grid will focus on safety, efficiency, and renewable energy consumption, including intelligent forecasting, diagnostic analysis, and planning [5][7]. - AI will also enhance new energy applications, such as virtual power plants and distributed energy storage, improving load-side optimization and dynamic response capabilities [9][10]. Group 4: Key Technology Supply - The initiative emphasizes addressing technical bottlenecks in the energy sector, including data isolation, fragmented computing power, and algorithm opacity, by promoting common key technology breakthroughs [31]. - It aims to establish high-quality data sets and enhance the integration of computing power and electricity, ensuring a robust foundation for AI applications in energy [31][32]. Group 5: Implementation and Support - Local energy authorities and relevant enterprises are encouraged to establish mechanisms to promote the development of AI in the energy sector, ensuring safety and innovation [33]. - The initiative will support pilot demonstrations of AI applications in energy, encouraging cross-sector collaboration and the establishment of innovation alliances [34][35].