In September 2026, China's installed capacity of photovoltaic power generation surpassed coal-fired power generation for the first time, accounting for 31.5% and becoming the largest power source. The large-scale development of new energy has presented complex characteristics of nonlinearity, strong randomness, and fast time-varying in the new power system. The deep integration of artificial intelligence and energy is moving from industry exploration to large-scale implementation. From intelligent inspection to autonomous scheduling, from data-driven to physical constraints, a revolution that reshapes the operational logic of the power system with AI is accelerating.

Top level design and collaborative implementation of large models

The Implementation Opinions on Promoting the High Quality Development of Artificial Intelligence and Energy clearly state the goal of promoting the deep application of five or more professional large-scale models in industries such as power grid, power generation, coal, and oil and gas by 2027; By 2030, AI specific technologies and applications in the energy sector will generally reach the world's leading level. A number of industry models such as PetroChina Kunlun, State Grid Guangming Electric Power, Southern Power Grid Dawatt, and National Energy Group Qingyuan have successively appeared, marking the large-scale implementation of the intelligent transformation of the energy industry. The National Energy Administration has released the first batch of 51 high-value scenarios, promoting the leap of AI from auxiliary decision-making to autonomous execution.

Customized models to solve industry pain points

The general large-scale model is difficult to adapt to new power systems that strictly satisfy physical laws. The industry is building a hybrid architecture model that understands physical formulas and system rules, while constructing a dedicated production platform for high-quality datasets throughout the entire energy and power sector. The collaboration of computing and electronics has become a key topic - how to coordinate the use of electricity to strengthen computing and promote electricity through computing; In terms of data credibility and security, the credibility of power generation data, accountability of transaction instructions, and security guarantee of energy data are the gaps that single point intelligence must cross to move towards system level autonomous decision-making. Energy AI needs to be driven by both physical mechanisms and massive on-site data to create a closed-loop system that ensures perception, decision-making, and execution throughout the entire process. Keywords: High tech News Network, Computing Power AI、 Electricity

Parallel implementation of full scenario and security governance

The industry focuses on high-value scenarios throughout the entire energy chain, accelerating the adaptation and implementation of AI technology, and running through the entire chain of production, transmission and distribution, terminal consumption, and security protection. Safety and trustworthiness have become endogenous core attributes. The implementation of the 15th Five Year Plan for the Construction of a New Energy System and the continuous opening of high-value scenarios will lead to the integration of artificial intelligence and energy from single point tool applications to system level integration. The form of the energy system and production relations will face reshaping. The industry believes that it is necessary to build a solid foundation of security, trustworthiness, and collaboration - this is not only a technical proposition, but also a governance proposition. With the gradual emergence of problems that traditional methods cannot cope with after the high proportion of new energy access, AI is becoming the key to breaking the complexity of the new power system.Editor/Gao Xue