National Energy Administration: Carry out pilot projects of "Artificial Intelligence +" Energy Integration to promote the intelligent development of the energy industry.

On November 25th, the Comprehensive Department of the National Energy Administration issued a notice on organizing the pilot work of "Artificial Intelligence +" energy. The notice pointed out that focusing on the eight categories of scenarios, 37 key tasks, and over a hundred specific applications proposed in the "Implementation Opinions", according to the principle of "less but better", it aimed to solicit high-value application scenario demands needed for development by energy enterprises and urgently awaited by the industry, thereby effectively reducing the information barriers between energy scenario demand side and artificial intelligence technology supply side. Organizing artificial intelligence technology suppliers to take the lead based on scenario demand, undertake related tasks in constructing high-value scenarios. Scenario demand side and technology suppliers cooperate to form pilot project proposals, which, after being selected and identified by the National Energy Administration as "Artificial Intelligence +" energy pilot projects, explore and develop a new paradigm of comprehensive solutions that can be replicated on a large scale and commercial models that can be referred to, promote the intelligent development level of the energy industry. The text below: Notice from the Comprehensive Department of the National Energy Administration on Organizing the Pilot Work of "Artificial Intelligence +" Energy Genengxizong Technology [2025] No. 168 All provinces, autonomous regions, municipalities directly under the Central Government, planned single-city cities, Xinjiang Production and Construction Corps Development and Reform Commission, Energy Bureau, relevant central enterprises: In order to thoroughly implement the decision-making and deployment of the Central Government and the State Council on the development of artificial intelligence, implement the "Implementation Opinions of the National Development and Reform Commission and the National Energy Administration on Promoting the High-Quality Development of 'Artificial Intelligence +'" energy (Genfuke [2025] No. 73, hereinafter referred to as the "Implementation Opinions") work requirements, fully unleash the advantages of China's energy sector with ultra-large-scale markets and abundant application scenarios, accelerate the application of artificial intelligence in the energy sector, it is proposed to organize the pilot work of "Artificial Intelligence +" energy, the relevant matters are hereby notified as follows: 1. General Idea Focus on the eight categories of scenarios, 37 key tasks, and over a hundred specific applications proposed in the "Implementation Opinions", adhering to the principle of "less but better", soliciting high-value application scenarios required for development by energy enterprises, awaited by the industry, and urgently needed by enterprises, effectively reducing the information barriers between energy scenario demand side and artificial intelligence technology supply side. Organize artificial intelligence technology suppliers to take the lead based on scenario demands. Form partnerships between scenario demand side and technology suppliers to develop pilot project proposals, which are selected and identified as "Artificial Intelligence +" energy pilot projects by the National Energy Administration, to explore the development of comprehensive solutions that can be replicated on a large scale and commercial models that can be referred to, drive the development of the intelligentization level of the energy industry. 2. Work Procedures (1) Soliciting high-value application scenario lists. Energy enterprises submit applications for high-value application scenarios in accordance with the requirements of this notice. High-value application scenarios should specify the core tasks and implementation paths enabled by artificial intelligence technology, set measurable and verifiable construction goals such as cost reduction, efficiency improvement, carbon reduction, and safety guarantees. The National Energy Administration organizes expert reviews, selects, and publishes a list of high-value application scenarios for "Artificial Intelligence +" energy, providing practical guidance for the application of artificial intelligence technology in the energy sector. (2) Focus on high-value application scenarios and take the lead. The National Energy Administration will publicly release the list of high-value application scenarios on its portal website, open to the entire society. Artificial intelligence technology suppliers will take the lead based on scenario demands. After optimal selection by the scenario demand side, a joint innovation coalition of industry, academia, research, and application institutions will be established to refine the implementation paths and technical indicators of scenario construction, prepare pilot project proposals for high-value application scenarios, and submit them to the National Energy Administration in accordance with the requirements of relevant notices for project approval. (3) Conduct "Artificial Intelligence +" energy fusion pilot projects. The National Energy Administration organizes expert reviews, identifies pilot projects as "Artificial Intelligence +" energy projects that pass the review and have no objections, and proceeds with implementation. During the pilot phase, establish a dynamic monitoring mechanism for pilot projects, develop a set of quantitative evaluation indicators, organize experts to regularly track and evaluate the progress of pilot projects, identify and optimize any issues in a timely manner, and develop a comprehensive set of high-value scenario application solutions and modular, component-based products for scenarios. If the progress of a pilot project falls below expectations, the pilot status may be canceled in a timely manner. (4) Form industry common support capabilities. The National Energy Administration will summarize the effectiveness of pilot projects in a timely manner, develop industry common standards, promote the convergence of data, algorithms, models, products, solutions, and business models, and other achievements in artificial intelligence technology applications in the energy industry to relevant platforms such as pilot bases, and promote successful experiences to similar applications. Ensuring that energy businesses simplify development processes, reduce technical adoption barriers, achieve "one-time construction, multi-party use", avoid repeated investments in artificial intelligence technology by energy companies, and accelerate the large-scale implementation of artificial intelligence in the energy industry. For more detailed information on high-value application scenarios, see the original article in the link below: https://nhsa.gov/gonggao/gongneng.asp?ID=168