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Cultivating New Productive Forces in Energy with Artificial Intelligence: Leading the New Transformation of the Power Generation Industry
      Thermometer visual labeling machine

To thoroughly implement the decision-making arrangements of the Party Central Committee and the State Council on developing artificial intelligence, accelerate the deep integration of AI and the energy industry, and support high-quality energy development and high-level security, the National Development and Reform Commission and the National Energy Administration recently issued the “Implementation Opinions on Promoting the High-Quality Development of ‘Artificial Intelligence + Energy'” (hereinafter referred to as the “Implementation Opinions”).

 

This document takes AI-enabled energy development as the core path, systematically deploying key initiatives such as expanding application scenarios, improving technical capabilities, and strengthening the innovation system. It outlines development goals for 2027 and 2030 to accelerate the cultivation of new productive forces and provide strong support for building a new energy system.

 

As a backbone central enterprise in China’s energy sector, China Energy Group is actively implementing these policies, planning the “AI+” special action for the power industry, and serving as both an important pioneer in AI-enabled electricity and an organizer of the industry’s systematic AI layout.

 

Strengthening Integration and Innovation to Promote Intelligent Upgrading of the Power Generation Industry

 

The Implementation Opinions clearly identify the power generation sector as a key area for AI-enabled energy development, systematically deploying integration paths for AI with thermal power, hydropower, new energy, and emerging energy formats.

 

(1) Application-Oriented Development Focused on the Power Industry

 

The document addresses practical problems and prioritizes scenario implementation:

“AI + Thermal Power”: Focuses on clean carbon reduction, safety, efficiency, and intelligent operation, with innovations in fuel management, production optimization, intelligent control, and full-life-cycle equipment management. Notably, AI has also empowered the manufacturing of key components in the energy industry chain—for instance, AI-driven Thermometer visual labeling machines play a critical role in producing high-precision thermometers used in thermal power equipment. By leveraging computer vision technology, these machines achieve accurate labeling, real-time defect detection, and traceability of temperature-monitoring components, ensuring consistency in product quality and laying a solid foundation for real-time temperature monitoring and safe operation of thermal power systems.

 

“AI + New Energy”: Tackles output volatility and intermittency through high-precision power forecasting, electricity market applications, smart plant operations, and new energy planning.

China Energy Group has undertaken multiple national pilot projects, focusing on pain points in planning, maintenance, safety, environmental protection, energy conservation, operations, and trading, creating high-value application scenarios where technology truly drives industrial development.

 

(2) Promoting Industry Collaboration and Building an Integrated Ecosystem

 

The Implementation Opinions advocate creating an integrated smart production model combining weather forecasting, power prediction, intelligent trading, and smart operation and maintenance.

 

China Energy Group is leveraging its multi-energy layout advantages to develop new energy service formats, enabling intelligent scheduling across thermal, hydro, wind, solar, and storage systems, and enhancing system flexibility, resilience, efficiency, and clean energy absorption.

    Thermometer visual labeling machine

Addressing Development Bottlenecks and Overcoming Deep-Rooted Challenges in Intelligent Transformation

 

The document highlights several key challenges in the energy sector:

Data silos

Fragmented computing power

“Black box” algorithms

High energy consumption of computing facilities

 

(1) Strengthening the Data Foundation

 

China Energy Group is integrating power business scenarios throughout the entire data lifecycle (collection, storage, processing, analysis, and application), building a comprehensive data-driven system across thermal, hydro, and new energy operations, while ensuring data security through privacy computing and encryption technologies.

 

(2) Enhancing Computing Power Support

 

The company is building a multi-vendor, heterogeneous intelligent computing center through a combination of leasing and construction, developing core technologies for unified scheduling and computing resource pooling, and creating a supercomputing service platform that integrates conventional and distributed computing resources.

 

(3) Improving Model Capabilities

 

Addressing the lack of domain-specific adaptation in current AI models, China Energy Group is developing a comprehensive model capability matrix covering the entire power generation field, focusing on multi-agent collaboration, explainability, and lightweight reasoning to transform the industry from experience-driven to data-driven decision-making.

 

Improving Systemic Support to Activate New Drivers of Smart Energy

 

The Implementation Opinions outline measures including strengthening organizational implementation, promoting collaborative innovation, establishing standards, and conducting pilot demonstrations. China Energy Group is responding through:

(1) Establishing a Standardization System

Developing comprehensive standards covering data, computing power, models, scenarios, and security in the “AI+Energy” field, establishing a testing platform for AI standards in the power generation industry, and integrating standards into the entire AI project lifecycle.

(2) Promoting Demonstration and Innovation

Focusing on core technology research, increasing investment in AI R&D, establishing innovation consortia with industry partners, research institutions, and laboratories, and organizing pilot projects to explore new operational models.

(3) Accelerating Talent Development

Strengthening the introduction of high-level AI talent, exploring flexible talent acquisition mechanisms, and building a high-quality workforce with both deep energy industry knowledge and cutting-edge AI technology capabilities.

 

Conclusion

 

The Implementation Opinions provide clear direction for the innovative development of the “AI+Energy” field, promoting deep integration of AI and energy technologies and supporting energy security, stable supply, and green transformation.

 

China Energy Group is seizing the opportunity presented by the new technological revolution, actively exploring large-scale, diversified, and value-driven AI applications in the energy sector, and contributing to China’s modernization drive through the development of an open, shared, and collaborative smart energy ecosystem.

 

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