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国家政策与千亿投资同频共振,电力央企抢滩"AI+能源"新赛道
Hua Xia Shi Bao·2025-09-10 12:43

Core Viewpoint - The integration of artificial intelligence (AI) with the energy sector is becoming an inevitable trend, driven by the release of the "Implementation Opinions on Promoting High-Quality Development of 'Artificial Intelligence + Energy'" by the National Development and Reform Commission and the National Energy Administration [1][2] Group 1: Policy and Strategic Goals - By 2027, a preliminary framework for the integration of energy and AI is expected to be established, with significant breakthroughs in core technologies and broader applications [2][6] - The policy outlines the deployment of AI across various energy sectors, including electricity, coal, oil, and gas, aiming to enhance the digital and intelligent transformation of traditional fossil energy industries [2][3] Group 2: Industry Initiatives and Developments - Major state-owned power enterprises, such as State Power Investment Corporation and China Energy Group, are actively implementing AI technologies in areas like resource exploration, production operations, and safety monitoring [1][4] - The National Energy Group is focusing on AI for efficient and clean coal utilization, with AI algorithms optimizing boiler combustion parameters to reduce coal consumption by 3%-5% [5] - Huaneng Group is collaborating with China Telecom to enhance digital transformation and AI integration in the energy sector [5] Group 3: Technological Advancements - AI systems are being utilized to optimize coal combustion in traditional power plants, resulting in a reduction of coal consumption by 4.2 grams per kilowatt-hour [6] - The development of AI load forecasting systems has improved short-term load prediction accuracy to over 97%, significantly enhancing grid stability [6] Group 4: Future Outlook and Market Potential - The market for digitalization in the power sector is projected to reach approximately 180 billion yuan by 2030, driven by the implementation of AI technologies [5] - The establishment of a collaborative mechanism between computing power and electricity is expected to create a green, economical, safe, and efficient energy consumption model [2][6]