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两部门正式印发《实施意见》,国家力推“人工智能+”能源
高工锂电·2025-09-10 10:36

Core Viewpoint - The article emphasizes the significant opportunities for the energy sector, particularly in battery technology, driven by the integration of artificial intelligence (AI) as outlined in the recent government implementation plan [3][4]. Summary by Sections Development Goals - The implementation plan sets clear development goals for 2027 and 2030, focusing on foundational work and establishing benchmarks, with initiatives like the "50-100" project to promote deep applications of AI in five energy sectors, identify over ten replicable demonstration projects, and develop a hundred typical application scenarios [5][6]. Key Application Scenarios - Eight major application scenarios are identified, including AI in power grids, new energy businesses, and traditional energy sectors, aimed at enhancing operational safety, efficiency, and cost-effectiveness [8][9]. Technical Support Framework - The plan outlines three key areas for technical breakthroughs: building high-quality data sets, enhancing computational power through a "computational-electricity synergy" mechanism, and improving model capabilities by integrating AI with energy software [10][11][12]. Demonstration Projects - Initial results from demonstration projects are emerging, showcasing the effectiveness of AI in energy applications, such as vehicle-to-grid interactions and smart energy storage systems [13][14]. Specific Case Studies - In Shandong Province, vehicle-to-grid interactions allow residents to profit from charging and discharging strategies, with potential aggregated capacity reaching millions of kilowatts [15]. - AI-driven smart trading in energy storage systems has shown to increase profit margins by 2-5 cents per kilowatt-hour, enhancing the commercial viability of these projects [17]. - Virtual power plants in Shandong have aggregated significant capacities and are actively participating in electricity market transactions, demonstrating the potential of AI to optimize energy resource management [18]. Future Outlook - The integration of AI in the energy sector is expected to further transform the entire energy production, distribution, and consumption chain, leading to a more efficient and sustainable energy system [19].