According to a report in China Daily on February 10, 2026
China is accelerating the integration of artificial intelligence (AI) into new-type power systems, driving a paradigm shift toward data-driven automation, hydrogen-enabled zero-carbon energy, and scalable storage solutions that enhance resilience and efficiency, experts say.
At the recent AI-Empowered New-Type Power System Innovation Forum, Zhou Aoying, fellow at the China Computer Federation and professor at East China Normal University, highlighted that the digital transformation of power systems requires a fundamental, data-centric approach rather than layering existing technologies. “The goal of smart tools is to automate cognition and decision-making,” Zhou explained, emphasizing the role of data, algorithms, and computing power in AI-driven energy systems.
Hydrogen-enabled zero-carbon systems are emerging as a key innovation. Guan Xiaohong, academician of the Chinese Academy of Sciences, showcased projects that combine hydrogen, electricity, and heat in integrated supply-demand systems with energy utilization exceeding 92%. These designs allow local energy balance, scalability, and economic feasibility, countering concerns that decarbonization inherently raises costs.
Practical implementations include the Yulin zero-carbon smart energy station in Shaanxi, the Xi’an Metro zero-carbon depot, the Jinchuan mining area in Gansu, and the Zhangbei zero-carbon park in Hebei. These projects demonstrate how centralized grids can be combined with distributed zero-carbon systems to absorb renewables locally, reduce reliance on backbone grid adjustments, and strengthen grid resilience.
AI applications in these systems are advancing rapidly. According to Wang Licheng, lecturer at the Shanghai University of Electric Power, large language models and reinforcement learning are already improving load forecasting and intelligent inspection. AI is being integrated across power generation, grids, loads, and storage systems, contributing to safer, lower-carbon, and smarter energy infrastructure.
Experts say China’s approach exemplifies how AI-enabled energy systems can transform traditional power networks into intelligent, resilient, and low-carbon platforms, positioning the country at the forefront of the global energy transition.