塑造电力市场建设和监管领域新格局 全力服务支撑能源强国建设 国家能源局市场监管司司长 郝瑞锋 在我国迈上建设能源强国新征程、加快建设新型能源体系的关键时期，2026年全国能源工作会议和国家 能源局监管工作会议于前不久胜利召开。会议紧紧围绕深入学习贯彻党的二十届四中全会和中央经济工 作会议精神，聚焦落实党中央、国务院决策部署，全面回顾2025年和"十四五"以来能源发展改革和监管 领域取得的成绩，深刻分析当前面临的形势，系统阐释能源发展"四个必须"、能源监管"四个属性"等一 系列规律性认识，并对2026年能源工作作出全面部署，赋予了能源监管机构新的使命。市场监管司作为 能源监管主责部门之一，将切实把思想行动统一到党中央、国务院决策部署上来，确保中共国家能源局 党组各项要求不折不扣落实到位。 淬炼"铁拳利剑"，强化能源监管执法权威。首次委、局协同开展电力领域综合监管，查深查透电网企业 向竞争性环节延伸、发电企业滥用市场力等上百个典型问题，分级分类做好约谈整改、行政处罚等工 作。出台油气管网监管领域首部部门规章，制定能源行业自然垄断环节监管事项清单，专项监管电网公 平开放行为，并对转嫁投资建设成本等7类典型问题进行公 ...

Core Insights - The digital regulatory system for state-owned enterprises (SOEs) in Chongqing has achieved 100% penetration across all levels, with core regulatory functions fully online and covering all key scenarios, marking a significant shift from traditional post-event accountability to real-time risk prevention [1][2] Group 1: Digital Regulatory System - The digital regulatory system has processed over 356 million transactions, managed over 8,000 investment projects, and monitored more than 900,000 asset data points in real-time [1] - The system is based on a comprehensive report for SOE reform and development, covering six major scenarios and detailing 14 specific regulatory areas, providing a panoramic view of SOE operations [1] Group 2: AI Integration - The system incorporates "AI + regulation" capabilities, utilizing AI-driven financial risk identification and economic operation analysis to automatically infer and assess risks from vast data sets [2] - Over the past two years, the system has issued more than 5,000 abnormal alerts and initiated over 700 dispatches, successfully transitioning risk management from post-event accountability to real-time intervention [2] Group 3: Future Developments - Chongqing's State-owned Assets Supervision and Administration Commission (SASAC) aims to deepen the integration of digital regulation with daily operations and is working towards a collaborative "big supervision" framework across departments [2]

Group 1 - The core viewpoint of the article highlights the successful implementation of a digital penetration regulatory system for state-owned enterprises (SOEs) in Chongqing, which has achieved 100% penetration across all levels of SOEs and core regulatory business [1][2] - The digital regulatory system, initiated in 2019, is based on a unique "1614" model that covers six major scenarios and 14 specific regulatory areas, providing comprehensive insights into SOE operations [1][2] - The system has automated the collection of 95% of regulatory data, significantly improving the efficiency of data gathering compared to traditional reporting methods [1] Group 2 - The introduction of "AI + regulation" capabilities has enabled the system to perform automatic reasoning and risk assessment on vast amounts of data, enhancing its risk prevention capabilities [2] - In financial regulation, the system has monitored over 3.56 million fund flows and tracked more than 20,000 corporate financing activities, leading to a significant reduction in non-standard and short-term debt ratios [2] - The investment regulation aspect has scanned over 8,000 investment projects, issuing precise risk warnings and facilitating interventions for high-risk projects, thus achieving comprehensive risk management throughout the investment cycle [2] Group 3 - The Chongqing State-owned Assets Supervision and Administration Commission aims to summarize and standardize the experiences and practices in digital penetration regulation, with the goal of creating replicable standards for national SOE regulatory digital transformation [3]

Core Insights - The eighth China International Import Expo (CIIE) has introduced a "smart upgrade" in food safety assurance through the integration of the "Food Safety AI Doctor" into the market regulation command platform, providing comprehensive intelligent support for the event [1][2] Group 1: AI Implementation and Benefits - The "Food Safety AI Doctor" utilizes professional knowledge and historical data to create a market regulation food safety model, enabling risk prediction, assessment, and control measures [1] - The system automates the generation of safety plans and reports, improving work efficiency by over 30% compared to traditional methods [2] - The AI system allows regulatory personnel to focus on fine-tuning recommended plans, enhancing precision and reducing workload [2] Group 2: Impact on Food Safety Management - The AI tool assists catering companies in summarizing historical service experiences and provides scientific guidance for food safety, leading to continuous improvement in management practices [2] - The implementation of the AI system fosters a virtuous cycle of experience accumulation and systematic management, resulting in cost reduction and efficiency enhancement for businesses [2] Group 3: Broader Implications - The "AI + regulation" model innovates the entire chain of risk prediction, precise service, and data accumulation, addressing traditional issues of information dispersion and low efficiency [3] - The experience gained from this initiative can be replicated for other large-scale events, promoting smart regulation in various scenarios [3]