The electricity calculation collaboration project is implemented, Datang Power has hit five consecutive daily limit-ups, and net profit is expected to increase by over 63% in 2025.

As of the midday close on May 12th, the green energy concept repeatedly strengthened, with the Electric Power ETF (512140) rising by 1.27%. In terms of constituent stocks, Datang Power gained five consecutive boards, with solar energy, JinKong Electric Power, GCL Energy Science and Technology, and others also rising. Meanwhile, the Hong Kong Stock Connect State-Owned Enterprise Dividend ETF (513920) increased by 0.7%.

On the news front, Datang Power achieved an operating revenue of 121.26B yuan in 2025, down 1.8% year-on-year; net profit attributable to shareholders of the listed company was 7.39B yuan, up 63.91% year-on-year. The company plans to distribute approximately 2.74B yuan in cash dividends for 2025, with 1.02B yuan already paid mid-term.

Datang Power is one of China’s largest independent power producers. Over 30 years, its operating companies and projects under construction are spread across 20 provinces and regions nationwide. Its main industries include thermal, hydro, wind, and photovoltaic power generation. The company is gradually developing into a large integrated energy listed company focused on green, low-carbon, multi-energy complementarity, and high-efficiency collaboration. By the end of 2024, the company’s installed capacity reached 79.11 million kilowatts.

On May 2, 2026, the first large-scale nationwide “Compute Power and Electricity Collaboration” green power direct supply project—Zhongwei Cloud Base 500k-kilowatt photovoltaic power station—officially went into operation. This project is a key supporting facility for the Ningxia hub of the “East Data West Computing” initiative, with a total scale of 2 million kilowatts (500k kilowatts photovoltaic + 1.5 million kilowatts wind power), and a total investment of 8.7 billion yuan.

Behind the soaring stock prices is the powerful policy push that has elevated “Compute Power and Electricity Collaboration” from an industry concept to a national strategy. On April 8, 2026, the National Development and Reform Commission, the National Energy Administration, the Ministry of Industry and Information Technology, and the National Data Administration jointly issued the “Action Plan for Promoting Bidirectional Empowerment of Artificial Intelligence and Energy,” explicitly proposing to “promote efficient coordination of energy, computing power, scenarios, data, and models,” and to build a “deep integration of computing power and electricity” development mechanism. This marks the fusion development model of “electricity supporting computing, computing optimizing electricity” as a national path to support artificial intelligence development and energy transition.

Hua Yuan Securities states that compute power and electricity collaboration creates incremental revenue for green energy operators. The industry logic focuses on power resource acquisition and dispatch optimization, with a clear trend toward SST industrialization. The development of the electricity market makes computing centers resources of virtual power plants, promoting industry collaboration.

Bank of China Securities indicates that driven by increased sales and higher per-vehicle charging capacity, demand for lithium batteries is optimistic, and profitability in the materials segment is expected to recover; the photovoltaic industry’s “anti-involution” and space photovoltaics are main investment themes, with component stabilization and a clear trend toward higher power; European offshore wind demand is rising due to urgent energy independence needs; the green electricity-green hydrogen-green fuel relationship in the hydrogen energy industry is gradually being clarified, and in the early stages of industry development, green fuels are expected to enjoy premiums. (Note: The above information is for reference only and does not constitute investment advice. The market carries risks; invest cautiously.)

Daily Economic News