两部门：到2027年能源与人工智能融合创新体系初步构建

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].