Electric Power Exchange Conference: The “AI + Energy” Strategy is Transforming Energy Trading into a Green Model
Date: September 26, 2025
Source: Science and Technology Daily
According to a report from Science and Technology Daily on September 25, the fourth Electric Power Exchange Conference was held in Chengdu, China. This conference focused on the theme “Energy Trading and AI Integration,” showcasing new achievements and trends in energy trading powered by advanced technologies.
During the conference, the National Energy Administration emphasized the importance of integrating artificial intelligence with energy systems. This integration aims to enhance the efficiency of energy exchanges and reduce operational costs. The event featured discussions on innovative products and systems that combine AI with energy management, aiming to facilitate the transition to low-carbon energy systems.
The “AI and Energy” strategy is designed to create a unified framework that integrates energy supply and AI technologies. This framework will utilize the abundant wind and solar resources in China to establish a sustainable energy supply, which will significantly lower electricity costs and improve energy efficiency.
Furthermore, the strategy includes a “Smart Energy Management” system that optimizes energy distribution and real-time adjustments to meet the demands of the grid. This system is expected to enhance the stability and reliability of energy supply, particularly during peak demand periods.
The Chinese government has been actively promoting projects that align with this strategy, aiming to establish a robust AI-driven energy trading infrastructure that supports green energy initiatives. This initiative is anticipated to accelerate the development of a sustainable energy ecosystem in China.
In addition to the established energy systems, the development of next-generation mobile energy storage vehicles is also being considered. These vehicles will be equipped with advanced energy management systems capable of responding to fluctuating energy demands and providing flexibility in energy distribution.
The integration of AI technologies in energy trading is expected to facilitate the creation of efficient and environmentally friendly energy models, enhancing both supply stability and operational efficiency. The ongoing efforts in this domain are set to significantly contribute to the realization of China’s green energy goals.
Original article by NenPower, If reposted, please credit the source: https://nenpower.com/blog/ai-driven-green-transformation-in-digital-trade-insights-from-the-5th-international-conference-on-digital-trade/
