China Launches First AI for Large-Scale Clean Energy Base
Chengdu (ANTARA) - China on Thursday (16 July) launched its first artificial intelligence (AI)-powered intelligent operation model for a 10-million-kilowatt integrated hydropower, wind and solar energy base, marking a new step in applying AI to the operation of large-scale clean energy bases.
Developed by the Yalong River Hydropower Development Company, Ltd. for the integrated clean energy base on the Yalong River in Sichuan Province, south-western China, the model supports forecasting, power system operation scheduling, operations, and market trading for the coordinated management of hydropower, wind and solar resources.
The model was built on domestic computing infrastructure and is supported by China’s first cave-based high-altitude intelligent computing centre.
According to the developers, the model extends the effective forecasting period for river flows from around 10 days to 60 days, adjusts reservoir operations in real time, and achieves a fault identification accuracy rate of more than 96 per cent for photovoltaic equipment.
Chen Deliang, an academician of the Chinese Academy of Sciences, said the model connects resource forecasting with power operation decisions and helps transform energy management from reactive adjustment to scientific prediction.
The Yalong River basin is one of China’s largest integrated clean energy bases, with total installed clean energy capacity projected to reach 78 million kilowatts by 2035.
Zhao Zenghai, Vice President of the China Renewable Energy Engineering Institute, said the model creates the first full-chain intelligent solution designed specifically for a 10-million-kilowatt-class clean energy base, providing a replicable pathway for similar projects and underscoring AI’s growing role in China’s green energy transition.
The launch followed China’s unveiling in May of 51 high-value “AI+Energy” application scenarios, highlighting the country’s expanding push to increase the use of AI in the energy sector.
Amid profound changes in the global energy landscape, deeper integration between AI and energy is seen as key to improving the resilience and efficiency of energy systems, while also carrying significant importance for China’s development, industrial competitiveness and energy security, according to experts.