Core Viewpoint - The article emphasizes the integration of artificial intelligence (AI) with the energy sector, highlighting the transition from a "one-way empowerment" model to a "mutual advancement" approach, where AI supports energy transformation while also relying on stable energy supply for its development [3][4]. Group 1: AI and Energy Integration - The relationship between AI and the energy sector is evolving, with AI's energy consumption projected to reach 3.5% of global energy use in the future, indicating a shift in focus from chip shortages to energy supply as a critical bottleneck for AI development [3]. - AI is becoming a key enabler for the transformation of the energy system, addressing challenges such as the volatility of renewable energy sources and the inefficiencies of traditional energy systems [3][4]. Group 2: Challenges in AI Implementation - The main bottleneck for AI application in the energy sector lies in the complexity of manufacturing core scenarios, necessitating deeper integration of AI with multidisciplinary knowledge to create adaptable infrastructure [4]. - Achieving true "mutual success" requires overcoming these challenges through a combination of AI technology and practical industry needs [4]. Group 3: Pathways for AI and Energy Fusion - The National Pipeline Group is advancing AI integration in energy infrastructure through three main pathways: precise forecasting, intelligent scheduling, and digital operation and maintenance [5]. - These initiatives aim to enhance energy supply accuracy, optimize energy flow and reduce operational costs, and improve infrastructure reliability through predictive maintenance [5]. Group 4: Systematic Support for AI Applications - The National Pipeline Group is focusing on core elements such as computing power, data, and models to build four foundational platforms: computing platform, large model platform, intelligent agent platform, and knowledge platform [8]. - The implementation of AI has led to significant improvements, such as reducing pipeline production planning time from four hours to minutes and achieving high accuracy in gas supply and sales predictions [8]. Group 5: Future of Energy Enterprises - AI is positioned as a core catalyst for reshaping energy enterprises, shifting the focus from experience-driven to data-intelligent operations [9][10]. - The National Pipeline Group aims to integrate oil and gas networks with renewable energy and intelligent scheduling to create a new type of energy infrastructure, facilitating a strategic transition from traditional operators to new energy service providers [10].
媒体报道丨推进“人工智能+” 融合应用 推动构建新型能源体系
国家能源局·2025-11-04 06:28