证券代码：002015 证券简称：协鑫能科 公告编号：2025-107 协鑫能源科技股份有限公司 2025 年第五次临时股东会决议公告 本公司及董事会全体成员保证信息披露的内容真实、准确、完整，没有虚假 记载、误导性陈述或重大遗漏。 特别提示： 1、本次股东会未出现否决提案的情形； 2、本次股东会未涉及变更以往股东会已通过的决议。 一、会议召开和出席情况 （一）会议召开情况 其中，①通过深圳证券交易所交易系统进行网络投票的具体时间为：2025 年12月29日9:15—9:25，9:30—11:30和13:00—15:00；②通过深圳证券交易所互 联网投票系统进行网络投票的具体时间为：2025年12月29日9:15至2025年12月29 日15:00的任意时间。 2、现场会议地点：江苏省苏州市工业园区新庆路28号会议室（协鑫能源中 心）。 3、会议召开方式：本次股东会采用现场表决与网络投票相结合的方式召开。 4、会议召集人：协鑫能源科技股份有限公司（以下简称"公司"）董事会。 5、现场会议主持人：董事长朱钰峰先生。 6、本次会议的召集、召开与表决程序符合《公司法》《上市公司股东会规 则》《深圳证券交易所股票上市 ...

Core Viewpoint - GCL-Poly Energy Holdings Limited (协鑫能科) has shown a significant stock price increase of 36.89% year-to-date, with recent trading activity indicating strong investor interest and capital inflow [1][2]. Group 1: Stock Performance - On December 29, GCL-Poly's stock rose by 2.34%, reaching a price of 10.49 CNY per share, with a trading volume of 1.73 billion CNY and a turnover rate of 1.03%, resulting in a total market capitalization of 170.29 billion CNY [1]. - The stock has experienced a 5.01% increase over the last five trading days and a 4.38% increase over the last 20 days, while it has decreased by 13.59% over the past 60 days [1]. - The company has appeared on the "龙虎榜" (a trading board for stocks with significant trading volume) five times this year, with the most recent appearance on July 2, where it recorded a net buy of -58.01 million CNY [1]. Group 2: Financial Performance - For the period from January to September 2025, GCL-Poly reported a revenue of 7.935 billion CNY, reflecting a year-on-year growth of 5.07%, and a net profit attributable to shareholders of 762 million CNY, which is a 25.78% increase compared to the previous year [2]. - The company's main revenue sources include electricity sales (42.85%), heat sales (17.79%), and energy services (16.60%), with energy services further divided into energy-saving and technical services (13.56%) and trading services (3.03%) [2]. Group 3: Shareholder Information - As of September 30, 2025, GCL-Poly had 78,000 shareholders, a decrease of 15.41% from the previous period, with an average of 20,802 circulating shares per shareholder, which is an increase of 18.21% [2]. - The top ten circulating shareholders include Hong Kong Central Clearing Limited, which holds 15.0573 million shares, and Guangfa Balanced Preferred Mixed A, which is a new shareholder with 9.6704 million shares [3].

证券代码：002015 证券简称：协鑫能科 公告编号：2025-106 协鑫能源科技股份有限公司 关于对控股子公司提供担保的进展公告 本公司及董事会全体成员保证信息披露的内容真实、准确、完整，没有虚假 记载、误导性陈述或重大遗漏。 一、担保情况概述 协鑫能源科技股份有限公司（以下简称"公司"）于 2025 年 4 月 27 日召开 第八届董事会第四十一次会议，审议通过了《关于 2025 年度对外担保额度预计 的议案》。董事会同意 2025 年度公司（含控股子公司）在公司及下属公司申请金 融机构授信及日常经营需要时为其提供对外担保，担保金额上限为 336.69 亿元 人民币，担保方式包括但不限于保证担保、资产抵押、质押等；如果公司及下属 公司在申请金融机构授信及日常经营需要时引入第三方机构为其提供担保，则公 司（含控股子公司）可为第三方机构提供相应的反担保。公司（含控股子公司） 对合并报表范围内子公司提供担保额度为 329.01 亿元人民币，其中为资产负债 率低于 70%的子公司提供担保的额度不超过 117.42 亿元人民币，为资产负债率 高于 70%的子公司提供担保的额度不超过 211.59 亿元人民币；合并 ...

Core Insights - The article highlights the commencement of the Vina 30 MW wind power project in Vietnam, marking the first overseas wind power project for the company [1] Group 1: Project Details - The Vina wind power project covers an area of approximately 7.6 hectares [1] - The total installed capacity of the project is 30 MW [1] - Once fully operational, the project is expected to provide approximately 86.489 million kWh of clean electricity annually to the province of Khanh Hoa in Vietnam [1]

Group 1 - The core viewpoint of the article highlights that GCL-Poly Energy has secured involvement in four virtual power plant projects as part of the first batch of 100 key construction projects announced by the Jiangsu Provincial Development and Reform Commission [1] - The total aggregated capacity of the projects involving GCL-Poly Energy reaches 2.2286 million kilowatts, accounting for 13.1% of the total capacity of the first batch of projects [1] - The projects have an adjusted capacity of 845,600 kilowatts, which represents 30.7% of the total capacity [1] Group 2 - In November, GCL-Poly Energy launched the "Juxing AIVP" virtual power plant platform, which enables full-process intelligence from grid demand forecasting to trading strategy recommendations [1]

Group 1 - The company, GCL-Poly Energy Holdings Limited (协鑫能科), has stated that it is currently not engaged in any stablecoin-related business [1]

Group 1 - The company, GCL-Poly Energy Holdings Limited (协鑫能科), has stated that it is currently not engaged in any stablecoin-related business [1]

Core Insights - The integration of AI technology in the energy sector faces significant challenges, particularly in accurate energy forecasting, which is crucial for the development of virtual power plants and energy trading [3][4] - The company is focusing on developing AI large models and expanding application scenarios to enhance predictive accuracy and operational efficiency in energy management [3][5] - The company aims to transition from a domestic green energy operator to a global energy technology service provider, implementing a dual-driven strategy of "energy assets + energy services" [7][8] AI Technology Challenges - Current AI applications in the energy sector are hindered by issues such as the lack of scenario-specific models and the complexity of energy processes, making accurate forecasting difficult [3][4] - The company is addressing these challenges by developing energy time-series models and AI agents to improve sensitivity to external factors and enhance predictive capabilities [3][5] Project Development and Implementation - The company has managed over 20 GW of user load, with approximately 835 MW of controllable load verified in the market, showcasing its comprehensive data and model advantages [4] - AI technology has significantly improved operational efficiency, with a 10% increase in predictive accuracy for energy strategies and a 3% reduction in overall operational costs for distributed energy systems [5] Virtual Power Plant Ecosystem - The company is actively participating in the development of virtual power plant ecosystems, exemplified by the launch of the "Juxing" platform, which aims to enhance energy management across various sectors [6] - This platform leverages multi-dimensional AI models to optimize resource allocation and trading strategies, thereby improving operational efficiency [6] Global Expansion Strategy - The company is committed to expanding its presence in international markets, particularly in Southeast Asia, Central Europe, Central Asia, Australia, and Africa, focusing on green energy solutions [7][8] - The strategic focus includes enhancing the share of renewable energy assets and innovating carbon-neutral service models to drive significant growth in both scale and profitability [7]

Core Viewpoint - The integration of AI technology in the energy sector is crucial for overcoming challenges in energy prediction and optimizing virtual power plant operations, as highlighted by the strategic initiatives of GCL-Poly Energy Technology [1][2][6][7] Group 1: AI Technology and Energy Prediction - AI technology faces significant bottlenecks in energy applications, particularly in high-precision forecasting of power generation and consumption [2] - The industry struggles with the lack of scenario-specific energy AI prediction models, which complicates the training of large models using historical load and weather data [2] - GCL-Poly aims to develop energy time-series models and AI agents to enhance predictive accuracy and operational strategies, focusing on long-term memory and adaptability to external factors [2][3] Group 2: Achievements in Virtual Power Plant Operations - GCL-Poly has managed over 20 GW of user load, with approximately 835 MW of controllable load verified in the market, demonstrating its comprehensive advantages in the virtual power plant sector [3] - The company's AI model has improved the accuracy of energy system assessments by over 10% and reduced operational costs of distributed energy systems by about 3% [3] - The implementation of AI technology has increased user engagement with green energy, promoting sustainable consumption [3] Group 3: Strategic Developments and Global Expansion - GCL-Poly is transitioning from a domestic green energy operator to a global energy technology service provider, focusing on a dual strategy of "energy assets + energy services" [6] - The company plans to enhance its asset structure by increasing the share of renewable energy and expanding projects related to zero-carbon parks and microgrids [6] - GCL-Poly aims to innovate in carbon neutrality services and expand its international presence, particularly in Southeast Asia, Central Europe, and Africa, to address market challenges [6][7]

Core Insights - The integration of AI technology in the energy sector faces significant challenges, particularly in accurate energy forecasting, which is crucial for the development of virtual power plants and energy trading [1][2] - The company is focusing on developing AI models and expanding application scenarios to enhance predictive accuracy and operational efficiency, aiming to transition from a passive aggregator to an active value-adding energy service platform [2][4] AI Technology Challenges - The energy AI prediction models in the industry often lack scenario adaptability, making it difficult to utilize vast historical load and weather data for accurate long-term forecasting [2] - The company aims to overcome these challenges by developing energy time-series models and AI agents that can handle complex variable interactions and improve sensitivity to external factors [2] Achievements in Virtual Power Plant Sector - The company has managed user load exceeding 20 GW, with approximately 835 MW of controllable load verified in the market, showcasing its comprehensive data and model advantages [3][4] - The application of AI models has improved predictive accuracy by over 10% and reduced operational costs of distributed energy systems by about 3% [4] Strategic Developments - The company has launched the "Juxing" virtual power plant platform to create a smart energy management hub, enhancing the efficiency of aggregating distributed resources [5] - The platform supports a multi-dimensional AI model that automates processes from demand forecasting to trading strategy recommendations [5] Global Expansion Plans - The company is transitioning from a domestic green energy operator to a global energy technology service provider, focusing on a dual strategy of "energy assets + energy services" [6] - Future plans include expanding renewable energy assets and developing AI-driven platforms for energy management, trading, and carbon neutrality services [6][7] Market Opportunities - The ongoing integration of power market reforms and carbon neutrality goals presents significant market opportunities for virtual power plants and related services [7] - The company aims to leverage technological advancements and international market expansion to drive growth and contribute to global energy transformation [7]