Notice on Issuing the Action Plan for Promoting Two-Way Empowerment Between Artificial Intelligence and Energy
Issued by the National Development and Reform Commission, the National Energy Administration, the Ministry of Industry and Information Technology, and the National Data AdministrationGuoneng Keji〔2026〕No. 34
Development and reform commissions, energy administrations, competent industry and information technology departments, and data management departments of all provinces, autonomous regions, municipalities directly under the Central Government, cities specifically designated in the state plan, and the Xinjiang Production and Construction Corps; relevant central enterprises; relevant industry associations:To implement the relevant deployments and requirements of the Party Central Committee and the State Council, actively advance the two-way empowerment and in-depth integrated development of artificial intelligence (AI) and energy, the National Development and Reform Commission, the National Energy Administration, the Ministry of Industry and Information Technology, and the National Data Administration have jointly formulated the Action Plan for Promoting Two-Way Empowerment Between Artificial Intelligence and Energy. The plan is hereby issued for your earnest implementation.
National Development and Reform CommissionNational Energy AdministrationMinistry of Industry and Information TechnologyNational Data AdministrationApril 8, 2026
Action Plan for Promoting Two-Way Empowerment Between Artificial Intelligence and Energy
To thoroughly implement the major decisions and arrangements of the Party Central Committee and the State Council on the development of artificial intelligence, earnestly follow the relevant requirements of the Opinions of the State Council on Further Implementing the "AI+" Initiative (Guo Fa〔2025〕No. 11), strengthen the basic supporting role of energy in AI development, leverage the superimposed and multiplier effect of AI on energy transition, promote two-way empowerment between AI and energy development, and accelerate the establishment of a new collaborative, efficient, safe, reliable, green, low-carbon, open and integrated "AI+" energy development pattern, this action plan is formulated.
I. General Requirements
Guided by Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era, we will fully implement the spirit of the 20th National Congress of the Communist Party of China and its plenary sessions, earnestly follow the deployments of the Fourth Plenary Session, give full play to China’s advantages of a complete energy industry system, rich data resources, and broad application scenarios, promote the efficient coordination of energy, computing power, scenarios, data, models and other factors, help seize the commanding heights of the AI industry application, and strongly support the high-quality development of energy.
By 2027, a safe, green and economical energy support system for the innovative development of AI will be initially established, and the interaction capacity between clean energy and computing infrastructure will be significantly improved. High-value scenarios in the energy sector will be gradually opened for application, a long-term management mechanism for the co-construction and sharing of high-quality energy datasets will be initially established, and the utilization efficiency of computing resources of energy enterprises will be continuously optimized and steadily improved.
By 2030, China’s capacity to guarantee clean energy supply for AI computing infrastructure, as well as the R&D and application of AI-specific technologies in the energy sector, will reach world-leading levels, and remarkable results will be achieved in two-way empowerment between AI and energy.
II. Ensuring Safe and Reliable Energy Supply for Computing Infrastructure
We will coordinate energy resource allocation and computing infrastructure construction, strengthen the supporting role of energy supply in computing development, ensure the safe and stable operation of computing infrastructure, and build a strong barrier for energy security and digital security.
(1) Coordinating and Optimizing Energy Resources and Computing Layout
We will coordinate the planning and layout of large-scale new energy bases and national computing power hubs, promote the orderly and rational aggregation of computing infrastructure and internet backbone direct connection points in new energy-rich areas, and facilitate the nearby local consumption of new energy.In light of regional carrying capacity of energy, water resources and other factors, we will explore the coordinated construction of gigawatt-level AI computing infrastructure and supporting energy systems, carry out pilots in eligible regions, and promote the integrated development of computing and power.
(2) Improving Diversified Power Supply Capacity for Computing Infrastructure
In accordance with the actual conditions such as the access scale of computing infrastructure to the power grid, power grid voltage level, new energy penetration rate of the power grid, power quality requirements, and business types of computing infrastructure, we will establish and improve the planning and construction standards for energy supply of computing infrastructure.We will explore the direct supply of energy such as nuclear power and hydrogen energy to computing infrastructure.We will encourage computing infrastructure to be equipped with grid-forming energy storage to enhance power supply stability and active supporting capacity for the power system.
(3) Improving the Quality of Energy Supply for Computing Infrastructure
We will launch a special campaign to improve power supply quality, build a tripartite collaborative governance system of the government, power grid and users, guide computing infrastructure to rationally configure devices for improving power supply reliability and power quality, and ensure the power quality of computing infrastructure.We will strengthen the whole-process monitoring and risk early warning of energy consumption of computing infrastructure, and enhance the ability of relevant users to prevent and respond to extreme situations.
III. Promoting the Green and Low-Carbon Transformation of Computing Infrastructure
We will solidly advance the statistics of green power consumption proportion and carbon emission accounting of computing infrastructure, strengthen policy guidance for direct green power connection, continuously improve the energy efficiency and carbon efficiency of computing infrastructure, and build a whole-chain green and low-carbon development system featuring coordinated green power supply, efficient energy use and carbon emission control.
(4) Continuously Increasing the Proportion of Green Power in Computing Infrastructure
We will strengthen guidance on the layout planning of computing infrastructure projects, take the proportion of green power use as an important reference indicator, and enhance the supply capacity of green computing power.We will support computing infrastructure to increase the proportion of green power consumption by participating in green certificate and green power transactions.We will promote the green and low-carbon transformation of backup power sources for computing infrastructure, and encourage backup power sources to accelerate the replacement of traditional diesel generators with clean energy.
(5) Continuously Improving the Energy Efficiency of Computing Infrastructure
We will promote the R&D and application of technologies such as high-efficiency cooling, high-performance servers, high-performance power supply architecture, advanced storage, and waste heat recovery and utilization for computing infrastructure.We will enhance the intelligent level of energy consumption management of computing infrastructure, improve the energy consumption monitoring and evaluation system of computing infrastructure, and encourage enterprises to carry out evaluation of computing performance, energy efficiency and carbon efficiency levels.We will explore the research and pilot application of transformative low-power computing chips and system solutions such as brain-inspired, quantum and photonic computing.
(6) Strengthening Energy Conservation and Carbon Reduction Management of Computing Infrastructure
We will implement the requirements of dual control of total carbon emissions and intensity, and take the renewable energy utilization plan, power utilization efficiency, green power consumption proportion, waste heat recovery and utilization of newly built, renovated and expanded computing infrastructure as important contents of project energy conservation and carbon reduction review and evaluation.For computing infrastructure laid out in zero-carbon parks, we will explore the implementation of filing system for project energy conservation and carbon reduction review and evaluation.We will strengthen the coordinated metering of electric power, computing power and carbon emissions, encourage the development of carbon footprint accounting and certification services, and guide the green and low-carbon development of computing infrastructure.
(7) Improving Policies for Direct Green Power Connection of Computing Infrastructure
We will implement classified management of computing infrastructure based on computing task types, and encourage computing infrastructure with flexible regulation capacity to carry out direct green power connection.We will study incentives through price policies to encourage computing infrastructure to consume a higher proportion of new energy through direct green power connection and other means, and continuously improve the green development level of computing infrastructure.
IV. Promoting Efficient and Economic Coordination Between Computing Power and Electric Power
We will give full play to the scale effect of computing-power coordination, tap the flexible regulation potential of computing infrastructure, and promote the comprehensive operational benefits of computing infrastructure and the level of social energy allocation through market-based power transactions.
(8) Strengthening Coordinated Operation of Computing Power and Electric Power
We will promote the establishment of an interaction mechanism between computing power and electric power, guide computing infrastructure to optimize energy management and multi-form computing scheduling such as cross-network and cross-region based on power market price signals, and improve the economic benefits of computing infrastructure.We will encourage computing infrastructure to participate in power grid operation as flexible and adjustable resources on the load side, enhance the regulation capacity of the power system, and achieve two-way efficiency improvement of computing infrastructure and power system.
(9) Strengthening the Construction of Computing-Power Coordination Market Mechanism
We will encourage newly built computing infrastructure to sign long-term green power transaction contracts with renewable energy power generation enterprises, increase the proportion of green power consumption and supply stability, and build an economical, efficient and green energy supply system for computing infrastructure.We will support computing infrastructure to participate in market transactions such as electric energy, auxiliary services and demand response in various forms.We will promote the construction of a green computing power trading system, and advance the coordinated optimization of green power consumption and computing resource allocation.
V. Opening High-Value AI Application Scenarios in the Energy Sector
Driven by scenario demand, we will accelerate the in-depth integration and large-scale development of AI technology with the whole chain of energy production, supply, storage and marketing, and form a virtuous cycle of technological innovation and industrial application.
(10) Exploring High-Value Energy Scenarios
We will build a demand-driven, dynamically iterative scenario supply system, and form an energy AI scenario map covering major business areas with industrial leadership and international competitiveness.Focusing on key elements such as clear application value, complete data foundation and large-scale application potential, we will strengthen the value evaluation of AI-enabled energy scenarios, establish a mechanism for selection and list release of high-value scenarios, and provide practical guidance for the application of AI technology in the energy sector.
(11) Promoting the Opening of High-Value Energy Scenarios
We will build a platform for the opening and sharing of scenarios in the energy sector, establish standards, specifications and evaluation systems for the opening of energy scenarios, encourage energy enterprises to open benchmark scenarios, and drive the collaborative innovation of the entire industrial chain from point to area.On the premise of effectively safeguarding national energy security, network security and trade secrets, we will promote the opening and circulation of factors such as technology, data, software and hardware infrastructure.
(12) Establishing a Closed-Loop Management Mechanism for High-Value Energy Scenarios
We will build a test and verification platform for open energy scenarios, promote the adaptation and verification of AI technologies and the performance evaluation of scenario applications, and continuously standardize the access conditions for AI technology applications in the energy sector.We will establish a full-life cycle closed-loop management mechanism covering scenario release, R&D, test verification, project implementation and effectiveness evaluation, to ensure that AI technologies in the energy sector are verifiable, traceable, iterable and scalable for large-scale promotion.
(13) Promoting Large-Scale Application of High-Value Energy Scenarios
We will organize and carry out pilot projects for the integrated application of AI in the energy sector, continuously select benchmark applications of high-value scenarios with in-depth integration of AI and energy industry demands, accelerate the implementation and application of AI in the whole-chain scenarios such as energy planning and design, exploration and development, production and operation, equipment maintenance, operation and safety management, and rapidly improve the clean, low-carbon, safe, efficient, flexible and intelligent level of the energy system.
Special Column: High-Value Scenarios in the Energy Sector
Reliable and flexible supply of clean energy: Intelligent scheduling decision-making for integrated large-scale renewable energy bases such as "desert, Gobi and desert" and hydro-wind-solar; high-precision hydro-wind-solar power prediction; intelligent operation and maintenance of wind and photovoltaic stations with unmanned/less-attended operation; intelligent perception and coordinated management of quality and safety in hydropower project construction; auxiliary identification of abnormal operation, transient event analysis and disposal of nuclear power; intelligent control of controllable nuclear fusion devices.
Safe and stable operation of power grids: Intelligent evaluation and generation of power grid planning schemes; situational awareness and coordinated scheduling decision-making of provincial power grid operation; intelligent simulation analysis, safety and stability evaluation and strategy deduction of new power systems; state evaluation and defect diagnosis and disposal of high-voltage power equipment; state perception and fault disposal of high-voltage DC equipment; intelligent diagnosis and operation management of distribution networks; disaster early warning and intelligent linkage of emergency repair for important transmission channels; evaluation and simulation decision-making of power market rules.
Intelligent and efficient coal development: Precise detection and transparent modeling of coal geological structures; collaborative control of fully-mechanized mining face equipment and unmanned operation; intelligent scheduling and operation optimization of mine transportation; intelligent production decision-making and collaborative operation of mining, transportation and drainage equipment in open-pit mines; condition monitoring and predictive maintenance of coal mine equipment; rapid coal quality detection and intelligent optimization of coal washing and processing technology; intelligent early warning and prevention of coal mining safety; intelligent monitoring and regulation of ecological environmental protection in coal mining areas.
Efficient oil and gas exploration and development and smart pipe networks: Intelligent exploration and modeling decision-making of oil and gas geology; optimization of drilling design, intelligent guided drilling system, intelligent identification and early warning of drilling risks and intelligent recommendation of completion schemes; intelligent decision-making for reservoir reconstruction and unconventional oil and gas development; construction of oil and gas data asset library and digital twin basin model; intelligent perception of oil and gas production data, identification of production environment risks, leakage monitoring of key equipment and emergency disposal decision-making; intelligent regulation and optimization of long-distance pipelines and pipe network operation.
Diversified integrated innovation of new energy formats: Intelligent optimization operation decision-making for computing-power coordination; intelligent operation optimization of charging network and vehicle-grid interaction; operation optimization and safety risk early warning of new energy storage systems; coordinated optimization scheduling decision-making of virtual power plants and distributed resources; intelligent optimization of green hydrogen production process and energy efficiency control; integrated intelligent decision-making for carbon dioxide sequestration.
VI. Unlocking the Value of Data in the Energy Sector
We will establish a high-quality energy data development model integrating governance, security and circulation, give full play to the value of data factors, and promote the transformation of energy data from resources to assets.
(14) Promoting the Construction of High-Quality Datasets in the Energy Sector
We will formulate standards for the construction of high-quality datasets in the energy sector, and standardize the whole-life cycle management and technical requirements of data demand, data architecture, data collection, data preprocessing, data annotation and quality verification.Driven by business scenarios, we will accelerate the construction of high-quality datasets for core energy scenarios.Leveraging data infrastructure such as trusted data spaces, we will build a sharing platform for high-quality datasets, establish a dynamic update and long-term operation mechanism, and unlock the value of high-quality data in the energy sector.
(15) Building a Strong Barrier for Energy Data Security and Privacy Protection
We will formulate standards and specifications for classified and graded data in the energy industry, and strengthen the protection of key energy information infrastructure and data.We will build a security protection system covering the whole data life cycle, and carry out regular security audits and risk assessments.We will promote the in-depth integration of cutting-edge security technologies such as privacy computing and encrypted computing with energy business scenarios, and accelerate the R&D, application and promotion of trusted circulation technologies.
(16) Stimulating the Vitality of the Energy Data Factor Market
We will establish and improve market-oriented rules, mechanisms and standards for data value evaluation and income distribution adapted to the needs of the energy industry, and open up data circulation channels.We will deepen the pilot construction and interconnection of trusted data spaces in the energy sector, and promote the sharing and efficient docking of data resources.We will encourage the cultivation of energy data operators and innovative data operation models based on national data infrastructure.
VII. Strengthening Innovation in AI Models for the Energy Sector
We will intensify the research and innovation of professional models, deepen the in-depth application of independently controllable hardware in the energy sector, realize the deep coupling of AI technology and the energy industry, and consolidate the foundation for AI innovation in the energy sector.
(17) Accelerating Technological Breakthroughs in Energy Professional Models
Focusing on power grids, power generation, coal, oil and gas, integrated energy and other fields, we will enhance the basic capabilities of energy large models such as generalization and migration, multi-agent framework, large-small model collaboration, multimodal understanding and generation, and long-sequence reasoning.We will encourage energy professional models to be open and shared preferentially in national-level AI open-source communities, and accelerate the transformation and application of model achievements.We will promote the in-depth application of more than five professional large models in power grids, power generation, coal, oil and gas and other industries, and advance the integration and aggregation of industry data into professional large models.
(18) Strengthening R&D and Application of Cutting-Edge AI Technologies in the Energy Sector
We will advance the R&D of technologies such as intelligent terminals, agents, embodied intelligence and AI-native architecture adapted to the energy sector.We will improve AI application testing infrastructure in the energy sector, and promote the verification and pilot test of intelligent equipment and agents.We will accelerate the inclusive application of AI technologies in the energy sector and the intelligent upgrading of the industry, and promote large-scale promotion and value release across the industry.We will encourage the development of new model-as-a-service formats based on cloud computing, and support the cultivation of a number of high-quality AI technology service providers.
(19) Promoting the In-Depth Application of Independently Controllable AI Software and Hardware in the Energy Sector
We will accelerate the adaptation and optimization of independent intelligent computing chips and domestic deep learning frameworks, promote the collaborative operation of multiple frameworks, and advance the application of efficient migration technologies for energy large models in typical scenarios.We will continuously promote the iterative upgrading of AI software and hardware technologies in the energy sector, and improve the intelligent level of infrastructure in the energy sector.
VIII. Building a Synergistic Development Ecosystem for AI and Energy
Based on the whole-process needs of R&D and application of AI technologies in the energy sector, we will optimize the allocation of various factors, and build a virtuous ecosystem of two-way empowerment and in-depth integration of AI and energy development.
(20) Launching the "AI+" Energy Standardization Improvement Campaign
We will strengthen the top-level design of "AI+" energy standardization, and establish and improve a standard system for two-way empowerment between AI and energy.We will improve the standardization management mechanism, and speed up the development of key technical standards such as AI application capability evaluation in the energy sector, green and low-carbon level evaluation of computing infrastructure, technical requirements for computing-power coordination, and planning and construction of high-load computing infrastructure in accordance with the principle of urgent first.We will vigorously promote the internationalization of "AI+" energy standards, and further advance technical standard exchanges and cooperation and mutual recognition of Chinese and foreign standards.
(21) Exploring the Establishment of an "AI+" Energy Security Governance System
We will carry out the top-level design of AI security governance, and explore the establishment of basic security principles for the R&D and application of AI in the energy sector.We will promote the formulation of standards for the division of security responsibilities for AI applications in the energy sector, and build a closed-loop control mechanism and risk isolation measures for security governance covering data, models and applications.
(22) Promoting Diversified and Integrated International Exchanges and Cooperation
We will actively participate in the construction of a global governance system for the integrated development of AI and energy, and support the establishment of a fair, just, inclusive and inclusive international pattern for the integrated development of AI and energy.We will give full play to the role of bilateral and multilateral inter-governmental energy cooperation mechanisms, deepen exchanges and cooperation with relevant countries, international energy organizations and professional institutions, make good use of non-governmental scientific and technological exchange platforms and international scientific and technological organizations, and promote technological exchanges and information sharing of AI in the energy sector.We will give full play to China’s experience in the construction of energy and computing infrastructure, promote the coordinated overseas development of AI and energy projects, guide domestic enterprises to "go global" with advanced experience, technologies and equipment, and help the intelligent transformation and upgrading of the global energy industrial chain and supply chain.
(23) Building a Compound Talent Training System
We will strengthen the construction of interdisciplinary disciplines integrating AI and energy, build industry-education integrated discipline clusters relying on high-level universities and leading technology enterprises, and cultivate a number of compound, innovative and practical talents.We will encourage innovative entities such as enterprises, universities and research institutions to establish talent training and exchange mechanisms.We will encourage the establishment of an open-source community for AI in the energy sector, and guide more developers who understand both AI and energy to efficiently solve the innovation and development problems of energy enterprises through open-source sharing.
IX. Policy Support
In light of the characteristics of "AI+" energy development, we will establish and improve a policy support mechanism and enhance the driving force for the coordinated development of upstream and downstream industries.
(24) Strengthening Scientific and Technological Innovation
Relying on national major science and technology projects in the fields of energy and AI, we will increase investment in basic research hotspots, industrial technology pain points and future development priorities in the field of AI-energy integration.We will encourage enterprises to jointly build industry-university-research-application innovation consortia with scientific research institutions, universities and social service organizations, carry out research collaboration and resource sharing, and promote the in-depth integration of innovation chain and industrial chain.
(25) Promoting Achievement Transformation
We will promote the priority inclusion of AI application-related technical equipment in the energy sector into the support scope of the first set of major technical equipment in the energy sector, and create an innovation environment that allows trial and error and tolerates failure for AI applications in the energy sector.We will establish and improve a quantitative and evaluation mechanism for the application value of AI in the energy sector, incorporate technical maturity, scenario adaptability, economic benefits, social impact, security and controllability, user evaluation and other indicators into the evaluation system, and guide the large-scale implementation of AI technologies with significant application effects in the energy sector.
(26) Strengthening Financial Support
We will encourage computing infrastructure to apply for infrastructure real estate investment trusts (REITs).We will encourage financial institutions to provide financial support for computing infrastructure projects that meet the requirements of the Green Finance Supported Project Catalogue (2025 Edition), and support eligible enterprises to issue green bonds.We will explore supporting eligible AI-energy integration projects through funding channels such as "two major projects" and "two new types of infrastructure".We will guide enterprises to increase investment in AI-energy integration projects, and attract various social capitals to invest in the field of AI-energy integrated development.We will support financial institutions to launch financial products suitable for the characteristics of the AI-energy integration field, and increase financial support on the premise of compliance with laws and regulations, risk control and commercial sustainability.
X. Organization and Implementation
We will strengthen overall coordination, consolidate the responsibilities of all parties, and ensure the effective implementation of all tasks of the action plan.
(27) Strengthening Organization and Implementation
We will establish and improve a coordinated promotion working mechanism under the overall coordination of the National Energy Commission, guidance by the National Development and Reform Commission, organization and implementation by relevant departments led by the National Energy Administration, and detailed implementation by provincial governments and key enterprises, forming a work pattern of vertical linkage, hierarchical implementation and safe development.All regions shall provide factor support for the two-way empowerment of AI and energy, and coordinate the promotion of the integrated development of AI and energy.As the main implementers of this action plan, energy and AI-related enterprises shall earnestly play the role of innovation subjects, accelerate the advancement of technology R&D, demonstration tests, construction and application, and regularly summarize experience.
(28) Establishing a Regular Monitoring and Evaluation Mechanism
We will carry out dynamic monitoring of the implementation of the action plan, continuously collect and analyze data and information on the overall integrated development of AI and energy, and take the monitoring results as an important basis for optimizing resource allocation.On the basis of monitoring and evaluation, we will timely and dynamically adjust the goals and key tasks of the action plan in accordance with changes in domestic and international situations.
(29) Strengthening Publicity and Guidance
We will strengthen policy interpretation and public opinion guidance, extensively build social consensus, and create an atmosphere for the two-way empowerment of AI and energy that encourages innovation, deepens application and standardizes order.We will encourage local governments and enterprises to actively explore and innovate, select typical cases and promote them throughout the industry.
