国家发改委、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》

Core Viewpoint - The implementation opinions released by the National Development and Reform Commission and the National Energy Administration aim to promote the integration of artificial intelligence (AI) with the energy sector, targeting significant advancements and applications by 2027 and 2030 [1][2][3]. 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 application scenarios and improving innovation levels in AI technologies [2][3]. - The goal is to ensure energy security, stability, and a green low-carbon transition while fostering new productive forces for the new energy system [2][3]. Group 2: Goals by 2027 - By 2027, a preliminary integration system of energy and AI will be established, with significant breakthroughs in core technologies and broader applications [3][4]. - The plan includes the application of over five specialized large models in various energy sectors, the identification of more than ten replicable and competitive demonstration projects, and the exploration of a hundred typical application scenarios [3][4]. Group 3: Goals by 2030 - By 2030, AI technologies in the energy sector are expected to reach a world-leading level, with improved collaborative mechanisms between computing power and electricity [4]. - The focus will be on achieving breakthroughs in intelligent control of electricity, intelligent exploration of energy resources, and intelligent prediction of new energy [4]. Group 4: Accelerating Application Scenarios - The integration of AI in the power grid will enhance safety, efficiency, and the management of electricity supply and demand [5][6]. - AI will also be applied in new energy businesses, such as virtual power plants and distributed energy storage, to optimize load control and enhance energy efficiency [7][8]. Group 5: Key Technology Supply - The initiative addresses technical bottlenecks in the energy sector, including data isolation and high energy consumption of algorithms, by promoting the development of common key technologies [23][24]. - Emphasis will be placed on building high-quality data sets, enhancing computational support, and improving model capabilities [23][24]. Group 6: Support Measures - The plan includes establishing a robust organizational framework to implement AI in the energy sector, promoting collaborative innovation, and enhancing standardization efforts [25][26]. - Pilot demonstrations will be organized to showcase replicable and scalable AI applications in the energy sector [26].