香港交易及結算所有限公司及香港聯合交易所有限公司對本公告之內容概不負責，對 其準確性或完整性亦不發表任何聲明，並明確表示概不就因本公告全部或任何部份內 容而產生或因倚賴該等內容而引致之任何損失承擔任何責任。 (在中華人民共和國註冊成立的股份有限公司) (股份代碼: 01088) 2025 年 8 月份主要運營數據公告 (海外監管公告) 以上主要運營數據來自本公司內部統計。運營數據在月度之間可能存在較大差 異，其影響因素包括但不限於天氣變化、設備檢修、季節性因素和安全檢查等。運營 數據可能與相關期間定期報告披露的數據有差異。投資者應注意不恰當信賴或使用以 上信息可能造成投資風險。 承董事會命 中國神華能源股份有限公司 總會計師、董事會秘書 宋靜剛 北京，2025年9月16日 於本公告日期，董事會成員包括執行董事張長岩先生，非執行董事康鳳偉先生及李新 華先生，獨立非執行董事袁國強博士、陳漢文博士及王虹先生，職工董事焦蕾女士。 中國神華能源股份有限公司（「本公司」）董事會及全體董事保證本公告內容不 存在任何虛假記載、誤導性陳述或者重大遺漏，並對其內容的真實性、準確性和完整 性承擔法律責任。 | | | 2025 | ...

每经AI快讯，皖能电力（SZ 000543，收盘价：7.17元）9月16日晚间发布公告称，截至2025年9月12日 收盘，皖能资本通过深圳证券交易所交易系统以集中竞价交易方式累计增持公司股份约2072万股，占公 司目前总股本的比例为0.9138%，增持金额约为1.5亿元。截至2025年9月12日收盘，相关增持计划已实 施完成。 2025年1至6月份，皖能电力的营业收入构成为：发电行业占比79.28%，煤炭行业占比17.97%，运输行 业占比1.52%，垃圾处理占比1.09%，其他占比0.14%。 截至发稿，皖能电力市值为163亿元。 每经头条（nbdtoutiao）——海拔4306米现"秦始皇密令"，获官方"身份认定"！古文字学家刘钊：秦人 寻仙采药足迹确至青藏高原 （记者 曾健辉） ...

Group 1 - The company, Jiuzhou Group, held a temporary board meeting on September 15, 2025, to discuss the proposal for early redemption of Jiuzhou Convertible Bonds [1] - For the first half of 2025, Jiuzhou Group's revenue composition was as follows: heating revenue accounted for 43.58%, intelligent assembly manufacturing business for 28.61%, power generation revenue for 26.89%, and other businesses for 0.92% [1] - As of the report date, Jiuzhou Group's market capitalization was 4.4 billion yuan [1]

日前，信用能源公示了国能广投北海发电有限公司的行政处罚决定。处罚决定书文号南方监能罚字〔2025〕40号显示，国能广投北海发电有限公司处 罚事由是未采取措施消除事故隐患,南方能源监管局对其作出罚款2.5万元处罚。 公开信息显示，国能广投北海发电有限公司成立于2021年1月31日，注册资本184288万元，法定代表人李昌松，大股东是中国神华能源股份有限公 司。 中国神华能源股份有限公司（简称中国神华）成立于2004年11月8日，是国家能源投资集团有限责任公司（简称国家能源集团）旗下A+H股旗舰上市 公司，H股和A股股票分别于2005年6月15日、2007年10月9日在香港联交所、上海证交所上市，连续11年荣获上交所信息披露工作评价A级。截至 2024年底，公司资产规模6581亿元，综合市值8221亿元，职工总数8.3万人。 新闻热线电话0531-85193242 ...

Core Viewpoint - The National Development and Reform Commission and the National Energy Administration have issued implementation opinions to promote high-quality development of artificial intelligence in the energy sector, setting phased goals for AI development in this field by 2027 and 2030 [1] Group 1: Goals and Objectives - By 2027, the focus will be on establishing a solid foundation, setting benchmarks, and improving systems, with an emphasis on the "Five-Hundred" project, which includes the application of over five specialized large models in various energy sectors [1] - The project aims to identify more than ten replicable and competitive demonstration projects, explore a hundred typical application scenarios, and develop a hundred technical standards [1] - The initiative also seeks to cultivate a number of industry-level R&D innovation platforms to create a technology innovation development model suitable for China's energy sector [1] Group 2: Future Vision - By 2030, the goal is for AI-specific technologies and applications in the energy sector to reach a world-leading level [1] - The focus during this phase will be on independent innovation of core technologies and deep integration applications, enhancing the safety, greenness, and efficiency of energy systems [1] - This development will support the construction of a new energy system in China [1]

Core Viewpoint - The National Development and Reform Commission and the National Energy Administration of China have issued implementation opinions to promote the high-quality development of "Artificial Intelligence + Energy," outlining phased goals for AI development in the energy sector by 2027 and 2030 [1] Summary by Relevant Sections 2027 Goals - By 2027, the focus will be on establishing a solid foundation, setting benchmarks, and improving systems. The "Five-Hundred" project aims to: - Promote the deep application of over five professional large models in industries such as power grids, power generation, coal, and oil and gas - Identify more than ten replicable, easily promoted, and competitive key demonstration projects - Explore a hundred typical application scenarios and empowerment paths - Develop and refine a hundred technical standards - Cultivate a number of industry-level R&D innovation platforms - Formulate a technology innovation development model for AI in the energy sector that aligns with China's national conditions [1] 2030 Goals - By 2030, the AI-specific technologies and applications in the energy sector are expected to reach a world-leading level. The focus during this phase will be on: - Independent innovation of core technologies and deep integration applications - Enhancing the safety, greenness, and efficiency of energy systems through AI technology - Supporting the construction of a new energy system in China [1]

Core Insights - The National Development and Reform Commission and the National Energy Administration have issued implementation opinions to promote high-quality development of artificial intelligence in the energy sector, outlining phased goals for development [1] Summary by Sections Phase Goals - By 2027, the focus will be on establishing a solid foundation, setting benchmarks, and improving systems. The "Five-Ten-Hundred" initiative aims to promote the deep application of over five professional large models in sectors such as power grids, power generation, coal, and oil and gas [1] - The initiative also seeks to identify more than ten replicable, easily promoted, and competitive key demonstration projects, explore a hundred typical application scenarios, and develop a hundred technical standards [1] Technological Development - By 2030, the goal is for artificial intelligence technologies and applications in the energy sector to reach a world-leading level. This phase emphasizes independent innovation of core technologies and deep integration applications [1] - The application of artificial intelligence is expected to enhance the safety, greenness, and efficiency of energy systems, supporting the construction of a new energy system in China [1]

Core Insights - Greece is set to phase out a significant amount of traditional energy generation capacity over the next decade, as per the latest assessment report from the European Union Agency for the Cooperation of Energy Regulators (ACER) [1] Summary by Relevant Sections Traditional Energy Capacity Phase-Out - By 2026, Greece will eliminate 660 megawatts (MW) of lignite power plants and 110 MW of natural gas power plants, along with 410 MW of oil-fired power plants on islands, which will be connected to the mainland grid [1] - By 2028, an additional 660 MW of lignite power plants and 470 MW of natural gas power plants will be phased out, completely halting lignite power generation [1] - By 2030, the total capacity of natural gas power plants to be eliminated will reach 1,410 MW, increasing to 2,870 MW by 2035 [1]

Core Viewpoint - The implementation opinions released by the National Development and Reform Commission and the National Energy Administration aim to promote the integration of artificial intelligence (AI) with the energy sector, targeting significant advancements and applications by 2027 and 2030 [1][2][3]. Group 1: Overall Requirements - The initiative is guided by Xi Jinping's thoughts and aims to enhance the integration of AI with the energy sector, focusing on application scenarios and improving innovation levels in AI technologies [2][3]. - The goal is to ensure energy security, stability, and a green low-carbon transition while fostering new productive forces for the new energy system [2][3]. Group 2: Goals by 2027 - By 2027, a preliminary integration system of energy and AI will be established, with significant breakthroughs in core technologies and broader applications [3][4]. - The plan includes the application of over five specialized large models in various energy sectors, the identification of more than ten replicable and competitive demonstration projects, and the exploration of a hundred typical application scenarios [3][4]. Group 3: Goals by 2030 - By 2030, AI technologies in the energy sector are expected to reach a world-leading level, with improved collaborative mechanisms between computing power and electricity [4]. - The focus will be on achieving breakthroughs in intelligent control of electricity, intelligent exploration of energy resources, and intelligent prediction of new energy [4]. Group 4: Accelerating Application Scenarios - The integration of AI in the power grid will enhance safety, efficiency, and the management of electricity supply and demand [5][6]. - AI will also be applied in new energy businesses, such as virtual power plants and distributed energy storage, to optimize load control and enhance energy efficiency [7][8]. Group 5: Key Technology Supply - The initiative addresses technical bottlenecks in the energy sector, including data isolation and high energy consumption of algorithms, by promoting the development of common key technologies [23][24]. - Emphasis will be placed on building high-quality data sets, enhancing computational support, and improving model capabilities [23][24]. Group 6: Support Measures - The plan includes establishing a robust organizational framework to implement AI in the energy sector, promoting collaborative innovation, and enhancing standardization efforts [25][26]. - Pilot demonstrations will be organized to showcase replicable and scalable AI applications in the energy sector [26].

Core Viewpoint - The implementation opinion aims to promote the integration of artificial intelligence (AI) and the energy sector, establishing a framework for high-quality development by 2027 and achieving world-leading levels by 2030 [1][10][12]. Group 1: Implementation Goals - By 2027, the initial framework for the integration of energy and AI will be established, focusing on the deep application of over five professional large models in various energy sectors such as power grids, generation, coal, and oil and gas [1][12]. - The plan includes identifying over ten replicable and competitive demonstration projects and exploring a hundred typical application scenarios [1][4][12]. - By 2030, the goal is to achieve systematic breakthroughs in AI-specific technologies and applications within the energy sector, enhancing safety, green transformation, and efficiency [5][13]. Group 2: Key Tasks - The implementation opinion outlines several key tasks, including empowering various energy scenarios with AI, focusing on coal, electricity, oil, and gas [6][7]. - It emphasizes the need for a comprehensive approach to AI applications across eight major scenarios, including smart grid, new energy, and nuclear power [7][8]. - A total of 37 key tasks have been identified, with specific applications in oil and gas, coal, electricity, and renewable energy [7][8]. Group 3: Technical Support - The opinion highlights the importance of strengthening the foundational technologies for AI applications in the energy sector, focusing on data, computing power, and algorithms [8][32]. - It calls for the establishment of high-quality data sets and a collaborative development mechanism for computing power and electricity [32][33]. - The need for enhancing model capabilities and addressing issues related to data security and algorithm transparency is also emphasized [32][33]. Group 4: Implementation Measures - The document stresses the importance of organizational implementation, encouraging local energy authorities and enterprises to establish mechanisms for promoting AI in the energy sector [34][35]. - It advocates for collaborative innovation among enterprises, research institutions, and universities to build a robust ecosystem for AI and energy integration [34][35]. - The need for pilot demonstrations and the selection of replicable scenarios for AI applications in the energy sector is also highlighted [35][36].