Core Insights - The report from Huatai Securities quantifies the impact of AI Token deployment on China's power industry, indicating that the transition to the reasoning era in AI could lead to a 10% elasticity in electricity demand, boosting green certificates and capacity prices [1][2]. Group 1: AI Industry Transition - The AI industry has shifted from a training era to a reasoning era, with a narrowing gap in computing power between domestic and overseas players. The Agent model is expected to drive exponential growth in Token consumption [1][2][9]. - If the global daily Token call volume reaches trillions, combined with a 30%-50% market share of domestic large models and 70%-90% local computing power deployment, Token deployment could increase China's electricity and power demand by 8% and 18%, respectively [1][2]. Group 2: Electricity Cost Dynamics - The importance of electricity costs in AI computing competition is increasing, with the share of electricity in unit Token costs rising significantly. In high-performance training versions of AIDC, electricity accounts for only 5%, but this doubles to 10% under reasoning models, and can reach 20%-30% with self-developed reasoning-grade chips [1][7][9]. - The report highlights that while the current electricity cost is only 10% of Token costs, this share is expected to continue rising as chip efficiency improves [9][18]. Group 3: Price Elasticity and Market Dynamics - The demand for Tokens is expected to enhance China's green electricity demand by 4%-33% from 2026 to 2030, benefiting undervalued green certificate prices. The low utilization rate of reasoning models is likely to increase capacity prices by 50-300 yuan per kilowatt during the same period, while the impact on electricity prices will be relatively delayed [2][8]. - The report contrasts with market views by emphasizing that the AI race has entered the reasoning era, and the elasticity of Token demand on green certificates and capacity prices is significantly higher than on electricity prices [2][9]. Group 4: Investment Recommendations - The report recommends focusing on undervalued stocks in the green and thermal power sectors, particularly those benefiting from renewable energy demand, such as Longyuan H, Green Development, and China Power [10]. - Companies like Jinko Power, Jingneng Clean Energy, and others are highlighted for their potential to benefit from capacity price elasticity [10]. Group 5: Future Outlook - The report suggests that the power supply in China will not become a bottleneck for computing power expansion, given the country's ample electricity supply. The industrial electricity price gap between China and the U.S. is expected to further highlight China's advantages in power supply [1][7][21]. - The transition to the reasoning era is anticipated to attract more infrastructure investments, as the sensitivity of electricity costs in AIDC is expected to double, making it a more critical factor in the competitive landscape [20][21].

湖北能源集团股份有限公司 关于 2026 年 2 月发电情况的自愿性信息披露公告 本公司及董事会全体成员保证信息披露的内容真实、准确和完整，没有虚 假记载、误导性陈述或重大遗漏。 为便于投资者及时了解公司生产情况，现将湖北能源集团股份有 限公司（以下简称公司）2026年2月发电量情况公告如下： 证券代码：000883 证券简称：湖北能源 公告编号：2026-004 单位：亿千瓦时 | 项目 | 本月发电量 | 同比变动 | 本年累计发电量 | 同比变动 | | --- | --- | --- | --- | --- | | 水电 | 10.45 | 109.00% | 22.63 | 129.51% | | 火电 | 17.81 | -3.99% | 42.51 | 4.19% | | 新能源 | 5.27 | -9.45% | 11.03 | -11.41% | | 其中： 风电 | 1.62 | 38.46% | 3.02 | 2.03% | | 光伏发电 | 3.65 | -21.51% | 8.01 | -15.60% | | 合计 | 33.54 | 14.20% | 76.17 | 20.69% ...

Investment Rating - The report maintains an "Overweight" rating for the public utility and power generation sectors [7]. Core Insights - The report highlights that the transition from the "training era" to the "inference era" in AI has significant implications for China's electricity demand, with potential elasticity exceeding 10% due to the global token consumption [2][5]. - It emphasizes the increasing importance of energy prices in the AI competition, suggesting that the cost of electricity will play a more critical role in the overall cost structure of AI models [3][5]. - The report recommends focusing on undervalued green electricity stocks and companies that will benefit from capacity price elasticity, particularly in the context of the anticipated slowdown in electricity supply growth starting in 2026 [1][6]. Summary by Sections Token Consumption and Electricity Demand - The report estimates that if the global daily token usage reaches trillions, the positive impact on China's electricity demand could be around 8% to 18% depending on the market share of domestic models [2]. - It notes that the elasticity of electricity demand due to token consumption is likely to be higher than that of electricity prices, particularly as the utilization rates of inference models are lower than those of training models [4][14]. Cost Structure and Electricity's Role - The analysis indicates that electricity costs currently account for about 5% to 10% of the total cost in AI data centers, with depreciation being the largest cost component [3][13]. - The report suggests that as the efficiency of domestic chips improves, the proportion of electricity costs in the total cost structure may continue to rise, potentially reaching 20% to 30% for self-developed chips [3][13]. Market Recommendations - The report recommends several stocks that are expected to benefit from the growth in renewable energy demand and capacity price elasticity, including companies like Longyuan Power, Huadian Power, and China Nuclear Power [6][8]. - It also highlights the potential for significant price increases in green certificates and capacity prices, which could benefit companies in the sector [4][6]. Market Dynamics and Competitive Landscape - The report points out that the market has not fully recognized the shift in AI competition dynamics, where the gap between domestic and foreign computing power is narrowing, and the demand for tokens is expected to grow exponentially [5][12]. - It emphasizes that while electricity prices are a factor, the core competitive advantage for domestic models lies in their cost-effectiveness and the ability to leverage local resources [5][12].

Group 1 - China Yangtze Power (600900) is a global leader in hydropower, controlling key hydropower assets in the Yangtze River basin, with installed capacity and generation volume ranking first globally, benefiting from stable, clean, and low-cost hydropower operations [1] - The company will benefit from the improvement of market trading mechanisms and the increase in green electricity premiums as a core supplier in the national unified electricity market [1] - The demand for AI computing power will lead to a reassessment of the value of electricity assets, highlighting the company's stable power supply capabilities and green electricity attributes [1] Group 2 - Huadian New Energy (600930) focuses on the development, investment, and operation of clean energy projects such as wind and solar power, with continuous expansion of installed capacity and increasing proportion of green electricity [2] - The advancement of the national unified electricity market will provide broader platforms and better premium opportunities for green electricity trading [2] - The company is actively expanding into energy storage and virtual power plant businesses to enhance its adjustment capabilities and adapt to diverse revenue mechanisms in the unified market [2] Group 3 - China General Nuclear Power (003816) is a domestic leader in nuclear power operations, with multiple operational nuclear units and a strong position in installed capacity and generation volume [3] - The company is also expanding into wind and solar energy, with a continuous increase in the proportion of green electricity [3] - The national unified electricity market will optimize nuclear power pricing mechanisms, enhancing capacity compensation and auxiliary service revenues [3] Group 4 - China Nuclear Power (601985) is a core player in domestic nuclear power operations, with leading installed capacity and technical strength in the industry [4] - The company is developing a dual-drive model of "nuclear power + new energy" and will benefit from improved revenue mechanisms in the national unified electricity market [4] - The demand for AI computing power will enhance the strategic value of nuclear power as a stable baseload power source [4] Group 5 - Huaneng Hydropower (600025) relies on high-quality hydropower resources in the Lancang River basin, with a strong position in installed capacity and generation volume [5] - The national unified electricity market will break regional barriers, increasing the scale and premium of cross-province hydropower transactions [5] - The company is actively promoting pumped storage and energy storage projects to enhance adjustment capabilities and adapt to auxiliary service demands in the unified market [5] Group 6 - Longyuan Power (001289) is a domestic leader in wind power, with significant installed capacity and generation volume [6] - The company has deep technical accumulation in wind power research and development, applying low rare earth permanent magnet technology widely [6] - The national unified electricity market will provide broader platforms and better premium opportunities for green electricity trading [6] Group 7 - Three Gorges Energy (600905) is a leading domestic renewable energy company focusing on the development, investment, and operation of wind and solar projects, with continuous expansion of installed capacity and increasing proportion of green electricity [7] - The company has technical and scale advantages in wind and solar fields, providing stable green electricity direct supply services [7] - The national unified electricity market will optimize green electricity trading mechanisms, enhancing green electricity premiums and trading scale [7]

Core Viewpoint - On February 23, a total of 34 listed companies had their restricted shares unlocked, with a total market value of approximately 19.007 billion yuan [1] Group 1: Restricted Share Unlocking Details - Luzhou Laojiao (000568) had 2.0425 million shares unlocked under equity incentive restrictions - AVIC Xi'an Aircraft Industry (000768) had 4.3606 million shares unlocked under equity incentive restrictions - Hubei Energy (000883) had 19.2779 million shares unlocked under equity incentive restrictions - Jining Pharmaceutical (000919) had 1.92 million shares unlocked under equity incentive restrictions - Guangji Pharmaceutical (000952) had 2.5209 million shares unlocked under equity incentive restrictions - China Software (600536) had 57,200 shares unlocked under equity incentive restrictions - Xinhua Medical (600587) had 1.7845 million shares unlocked under equity incentive restrictions - Baoxin Software (600845) had 10.2578 million shares unlocked under equity incentive restrictions - China Railway (601390) had 55.9338 million shares unlocked under equity incentive restrictions - China Communications Construction (601800) had 5.593 million shares unlocked under equity incentive restrictions - StarNet Ruijie (002396) had 2.8342 million shares unlocked under equity incentive restrictions - Lopuskin (002333) had 22.3212 million shares unlocked under A-share issuance to legal persons - Wanbangda (300055) had 33.6538 million shares unlocked under A-share issuance to legal persons - Hangyang Co., Ltd. (002430) had 5.2049 million shares unlocked under equity incentive restrictions - Taijia Co., Ltd. (002843) had 949,600 shares unlocked under equity incentive restrictions - Nanda Optoelectronics (300346) had 130,000 shares unlocked under equity incentive restrictions - Anhui Natural Gas (603689) had 2.5064 million shares unlocked under equity incentive restrictions - Zhongyan Dadi (003001) had 97,200 shares unlocked under equity incentive restrictions - Yuanxiang New Materials (301300) had 30.2983 million shares unlocked with extended lock-up period - Yidao Information (001314) had 88.6187 million shares unlocked under pre-issuance restrictions - Tongda Electric (603390) had 579,500 shares unlocked under equity incentive restrictions - Yangzhou Jinqiao (603307) had 50 million shares unlocked under pre-issuance restrictions - Aili Home (603221) had 2.29 million shares unlocked under equity incentive restrictions - Zhili Fang (301312) had 333,900 shares unlocked under equity incentive restrictions - Kuntai Co., Ltd. (001260) had 83.25 million shares unlocked under pre-issuance restrictions - Entropy Technology (301330) had 92.5223 million shares unlocked with extended lock-up period - Yatong Precision (603190) had 596,100 shares unlocked under pre-issuance restrictions - Sanwang Communication (688618) had 87,400 shares unlocked - Longxun Co., Ltd. (688486) had 30.6312 million shares unlocked - Dize Pharmaceutical (688192) had 991,100 shares unlocked - Haohan Depth (688292) had 57.5177 million shares unlocked - Haizheng Biomaterials (688203) had 78.5601 million shares unlocked - Diaomicro (688381) had 55.9536 million shares unlocked - Zhongrun Optics (688307) had 29.8507 million shares unlocked [1]

Core Viewpoint - Hubei Energy (000883.SZ) reported a significant increase in electricity generation for January 2026, with a total generation of 4.264 billion kilowatt-hours, marking a year-on-year increase of 26.38% [1] Generation Breakdown - Hydropower generation saw a remarkable year-on-year increase of 150.62% [1] - Thermal power generation increased by 11.01% year-on-year [1] - Renewable energy generation experienced a decline of 13.12% compared to the previous year [1]

Core Viewpoint - Hubei Energy (000883.SZ) reported a significant increase in electricity generation for January 2026, with a total output of 4.264 billion kilowatt-hours, marking a year-on-year growth of 26.38% [1] Group 1: Generation Breakdown - Hydropower generation saw a remarkable year-on-year increase of 150.62% [1] - Thermal power generation increased by 11.01% year-on-year [1] - Renewable energy generation experienced a decline of 13.12% compared to the previous year [1]

Core Viewpoint - Hubei Energy (000883.SZ) reported a significant increase in electricity generation for January 2026, with a total of 4.264 billion kilowatt-hours, representing a year-on-year growth of 26.38% [1] Group 1: Generation Breakdown - Hydropower generation saw a remarkable year-on-year increase of 150.62% [1] - Thermal power generation increased by 11.01% year-on-year [1] - Renewable energy generation experienced a decline of 13.12% compared to the previous year [1]

证券代码：000883 证券简称：湖北能源 公告编号：2026-003 湖北能源集团股份有限公司 关于 2026 年 1 月发电情况的自愿性信息披露公告 为便于投资者及时了解公司生产情况，现将湖北能源集团股份有 限公司（以下简称公司）2026年1月发电量情况公告如下： 2026年1月，公司完成发电量42.64亿千瓦时，同比增加26.38%。 其中水电发电量同比增加150.62%，火电发电量同比增加11.01%，新 能源发电量同比减少13.12%。 本公司及董事会全体成员保证信息披露的内容真实、准确和完整，没有虚 假记载、误导性陈述或重大遗漏。 为准。提醒投资者不宜以此数据简单推算公司业绩，并注意投资风险。 特此公告。 湖北能源集团股份有限公司董事会 2026 年 2 月 5 日 公司2026年1月发电情况表 单位：亿千瓦时 | 项目 | 本月发电量 | 同比变动 | | --- | --- | --- | | 水电 | 12.18 | 150.62% | | 火电 | 24.70 | 11.01% | | 新能源 | 5.76 | -13.12% | | 其中： 风电 | 1.40 | -21.79% | | ...

Core Viewpoint - The report highlights the growth trends in China's hydropower generation, indicating a positive outlook for the industry through 2025, with specific production figures and growth rates provided [1]. Industry Summary - According to the National Bureau of Statistics, China's hydropower generation reached 86.5 billion kilowatt-hours in December 2025, marking a year-on-year increase of 4.1% [1]. - The cumulative hydropower generation for the entire year of 2025 was 1,314.36 billion kilowatt-hours, reflecting a total growth of 2.8% compared to the previous year [1]. - The report is part of a broader analysis by Zhiyan Consulting, which specializes in industry research and provides comprehensive consulting services [1].