高工锂电年会前瞻｜AI+能源进入三年关键窗口期

Core Viewpoint - The article emphasizes the significant opportunities for the battery industry driven by the integration of artificial intelligence (AI) into the energy sector, as outlined in the recent government implementation plan [3][4]. Group 1: Event Overview - The 2025 (15th) High-Performance Lithium Battery Annual Conference will be held from November 18-20, 2025, at the JW Marriott Hotel in Shenzhen [5][26]. - The event will feature discussions on AI applications in batteries, energy, and manufacturing, with participation from major industry players such as CATL, BYD, and others [5][26]. Group 2: Government Implementation Plan - The National Development and Reform Commission and the National Energy Administration issued an implementation plan that sets development goals for 2027 and 2030, detailing 37 key tasks for the intelligent revolution in the energy sector [3][6]. - By 2027, the focus will be on establishing a solid foundation and promoting over five specialized AI models in energy, with the aim of creating a replicable development model [6][7]. - By 2030, the goal is to achieve international leadership in energy AI technologies, enhancing the safety, greenness, and efficiency of energy systems [6]. Group 3: Key Application Scenarios - The implementation plan outlines eight key application scenarios for AI in the energy sector, including AI + power grid, AI + new energy, and AI + traditional energy sources [8][11]. - These scenarios aim to enhance operational safety, intelligent scheduling, and the efficiency of energy production and consumption [8][11]. Group 4: Technical Support and Challenges - The plan identifies three major areas for technical breakthroughs: data foundation, computing power support, and model capability enhancement [13][15]. - It emphasizes the need for high-quality data sets, a collaborative development mechanism for computing power and electricity, and the integration of AI with energy software [13][15]. Group 5: Demonstration Projects and Results - Several demonstration projects have already been implemented, showcasing the effectiveness of AI in energy applications such as vehicle-to-grid interactions and intelligent energy storage [17][21]. - For instance, in Shandong Province, vehicle-to-grid interactions have the potential to generate significant profits for users, while AI-driven energy storage systems have improved market competitiveness [20][22][24]. Group 6: Future Outlook - The integration of AI into the energy sector is expected to further reshape the entire energy production, transmission, and consumption chain [25].