专家解读丨以人工智能培育能源新质生产力 引领发电行业新变革

Core Viewpoint - The article emphasizes the importance of integrating artificial intelligence (AI) with the energy sector to enhance high-quality development and ensure energy security, as outlined in the recent implementation guidelines by the National Development and Reform Commission and the National Energy Administration [2]. Group 1: AI Integration in Power Generation - The implementation guidelines identify the power generation sector as a key area for AI application, promoting deep integration of AI technologies across various energy sources including thermal, hydro, and renewable energy [3]. - The guidelines focus on practical applications, addressing issues such as carbon reduction, safety, efficiency, and intelligent operations in traditional power generation, while also tackling the intermittency of renewable energy through advanced power forecasting and smart operations [4]. Group 2: Collaborative Industry Ecosystem - The guidelines propose the creation of an integrated smart production model that combines weather forecasting, power prediction, smart trading, and intelligent operations, aiming to transition the energy sector from "point intelligence" to "system intelligence" [5]. - The National Energy Group is exploring new energy service models that enhance the flexibility, safety, and efficiency of energy systems through multi-energy complementary scheduling and intelligent operations across the entire power production process [5]. Group 3: Addressing Challenges in AI Transformation - The guidelines highlight challenges such as data silos, fragmented computing power, and high energy consumption in AI applications within the energy sector, calling for collaborative efforts to tackle these common technical issues [6]. - The National Energy Group is committed to leveraging its role as a state-owned enterprise to drive technological innovation and establish a solid foundation for AI development in the energy sector [6]. Group 4: Data and Computational Power Enhancement - The guidelines stress the importance of establishing a comprehensive data management system that covers the entire lifecycle of data in power generation, ensuring high-quality data for AI applications [7]. - A multi-faceted intelligent computing center will be developed to support unified scheduling and task management, enhancing the synergy between power generation and computing resources [8][9]. Group 5: Model Capability Improvement - The guidelines call for optimizing model algorithms to address common issues in the power sector, aiming to enhance decision-making capabilities and transition from experience-driven to data-driven approaches [10]. Group 6: Systematic Support for AI in Energy - The guidelines outline measures to strengthen organizational implementation, promote collaborative innovation, and establish standards to ensure the high-quality development of AI in the energy sector [11]. - A comprehensive standard system covering data, computing power, models, and safety will be developed to guide the application of AI in the energy sector [12]. - The National Energy Group will focus on talent cultivation in AI, aiming to build a skilled workforce with expertise in both energy and AI technologies [14].