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The first large-scale model of China's power generation industry, "Qingyuan," has been released

On June 28th, it was learned from the National Energy Group that China's first professional large-scale model for the power generation industry, "Qingyuan," was released in Beijing, with model parameters reaching the level of billions. This is also the world's first large-scale model for the power generation industry at the level of billions, effectively enhancing the model's reasoning ability and providing a "super brain" for the power generation industry to achieve safe, efficient, green, and intelligent power generation.


The "Qingyuan" large-scale model is based on the world's largest installed power capacity of the National Energy Group, relying on a powerful unified AI platform and integrating high-quality datasets unique to the power generation industry. It comprehensively plans multiple business domains including engineering construction, production and operation of thermal power, hydropower, and new energy power generation industries, dozens of key application scenarios, and over a hundred intelligent agents.


Wang An, Manager of the Operations Analysis Department of the Electric Power Department of the National Energy Group:

This release covers four core business domains: safety and environmental protection, power trading, production and dispatch center, and equipment maintenance, with 13 key application scenarios and a total of 41 intelligent agents. It solves the long-standing pain points in the power generation industry, such as difficult security risk control, difficult power trading decision-making, complex multi energy collaboration, and passive equipment operation and maintenance, providing an integrated solution for the power generation industry from power trading to production operations.


It is reported that the "Qingyuan" big model has redefined a new paradigm of intelligence in the power generation industry, deeply integrating diverse data such as operation monitoring, equipment status, meteorological environment, and electricity price trends, and building a powerful intelligent system covering the entire chain. It not only serves a single enterprise, but also strives to build an open and shared ecosystem, laying a solid foundation for collaborative innovation and the co construction of a smart energy new ecology in the upstream and downstream of the power generation industry.


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