Core Viewpoint - The document outlines the governance framework for Shandong New Energy Taishan Power Generation Co., Ltd, focusing on the delegation of authority from the board of directors to management, ensuring compliance with laws and regulations, and enhancing decision-making efficiency [1][2]. Group 1: Authorization Principles - The board of directors must adhere to principles of legality, accountability, and risk control when authorizing management actions [2]. - Authorization is categorized into basic authorization for routine business decisions and special authorization for specific matters beyond the basic scope [2][3]. Group 2: Scope of Authorization - The board can delegate certain powers to the chairman's special meeting or the general manager's office based on operational needs, ensuring that non-board entities do not receive direct decision-making authority [3][4]. - The board must scientifically determine the scope and limits of authorized decisions based on the company's strategic development and risk management capabilities [3][4]. Group 3: Decision-Making Procedures - The board must create a clear authorization decision plan detailing objectives, authorized parties, limits, and specific requirements [7][8]. - In special circumstances, temporary authorizations can be made through written resolutions, specifying the context and conditions of the authorization [7][8]. Group 4: Supervision and Adjustment - The board is responsible for monitoring authorized actions, evaluating their effectiveness, and making necessary adjustments based on operational realities and risk assessments [19][20]. - If significant issues arise, the board must promptly reassess and potentially revoke or modify the authorization [20][21]. Group 5: Responsibilities - The board holds supervisory responsibility for authorized actions and must correct any improper actions taken by authorized parties [24][25]. - The chairman's special meeting or general manager's office must operate within the authorized limits and report on their activities at least biannually [26][27]. Group 6: Final Provisions - The document will be effective upon approval by the board and will be interpreted by the board, which retains the right to adjust authorization matters as necessary [29][30].

Core Points - The article outlines the authorization management rules for Shandong New Energy Taishan Power Generation Co., Ltd, aiming to ensure standardized operations and protect the rights of the company, shareholders, employees, and creditors [1][2] - The rules specify the decision-making processes for major company decisions, emphasizing collective approval and prohibiting individual decision-making without proper authorization [1][2] Group 1: Authorization Principles - Authorization refers to the delegation of decision-making power from the shareholders' meeting to the board of directors, and further to the chairman's special meeting and the general manager's office meeting [1] - The principles of authorization management include ensuring the legal rights of stakeholders while improving operational efficiency and standardizing management processes [1][2] - Major decisions, personnel appointments, and significant matters must follow established approval procedures, preventing unauthorized individual actions [1][2] Group 2: Decision-Making Structure - The shareholders' meeting is the highest authority, responsible for making resolutions on significant company matters, and no individual can make decisions without authorization from this body [1][2] - The board of directors acts as the decision-making body within the scope authorized by the shareholders' meeting, and individual decisions cannot be made without board resolution [2] - The chairman's special meeting serves to guide and arrange work during the board's recess, with specific and clear authorizations granted for certain powers [2] Group 3: Decision-Making Procedures - Various transaction matters are categorized based on their financial impact, with specific thresholds determining the required level of approval [5][6] - For significant contracts related to daily operations, board approval is required if the contract amount exceeds 50% of the company's audited total assets or 500 million yuan [11] - Related party transactions have distinct approval processes based on transaction amounts, with higher amounts requiring board and shareholder approval [12] Group 4: External Guarantees and Risk Investments - External guarantees provided by the company must be approved by the board or shareholders if they exceed certain thresholds related to the company's net assets [8] - Risk investments that exceed 15% of the company's audited net assets require shareholder approval, while those between 10% and 15% require board approval [14] Group 5: Management and Supervision - The chairman and general manager are responsible for conducting business decisions within the authorized scope and must report progress to the shareholders' meeting and board [17] - The board's audit committee oversees the implementation of these rules, ensuring compliance and accountability [18] - All company personnel must operate within the authorized limits, with penalties for violations that result in losses [19]

Core Points - The document outlines the governance structure and decision-making procedures of Shandong New Energy Taishan Power Generation Co., Ltd, ensuring compliance with relevant laws and regulations [1][19] - The board of directors is composed of a minimum of one-third independent directors and is responsible for major corporate decisions, including operational plans and investment strategies [2][3] - The board must hold at least four meetings annually, with specific procedures for calling and notifying members [6][10] Group 1: Board Composition and Responsibilities - The board consists of a chairman, a vice chairman, and directors elected by the shareholders, with a term of three years [1][2] - The board has the authority to convene shareholder meetings, execute resolutions, and determine the company's operational and investment plans [2][3] - Independent directors and specialized committees, such as audit and remuneration committees, play a crucial role in governance [5][12] Group 2: Meeting Procedures - Board meetings require the presence of more than half of the directors to be valid, and decisions are made based on majority votes [10][21] - Directors must personally attend meetings or delegate their voting rights to other directors, with specific rules regarding delegation [7][10] - The board is responsible for maintaining confidentiality regarding meeting documents and decisions until officially disclosed [10][44] Group 3: Decision-Making and Reporting - The board must report decisions to the shareholders and ensure compliance with legal and regulatory requirements for information disclosure [16][42] - Decisions involving significant financial transactions must include detailed explanations of the implications and necessary evaluations [28][30] - The board's resolutions must be documented and signed by attending directors, with provisions for accountability in case of legal violations [34][36]

放眼整个发电行业，拥抱人工智能早已是共识。和国家能源集团并称为"五大"的其它发电央企——中国 华能、中国华电、国家电投、大唐集团，也都在积极推进AI应用。大家普遍采用了像DeepSeek这样先 进的国产大模型作为技术基础，并在本地安全部署。当前的应用主要集中在利用AI提高办公效率（比 如智能处理公文、撰写报告、整理会议纪要）、辅助设备维护（预测设备可能出现的故障）以及构建企 业知识库等方面。这些应用都是非常有价值的尝试，显著提升了工作效率和管理水平。 然而，国家能源集团的"擎源"大模型，在深度和广度上迈出了更关键的一步。如果说其他集团目前主要 是在利用AI"优化工具"和"辅助管理"，那么国家能源集团则是利用"擎源"这个强大的"行业大脑"，尝试 对发电的核心业务流程——从电力市场交易博弈、到多能源协同生产调度、再到设备预测性维护和安全 风险管控——进行一场全链条的智能化重构和决策升级。它不仅仅是一个好用的工具，更在努力成为驱 动整个发电系统更智能、更经济、更安全运行的"中枢神经系统"。 未来已来，AI在能源领域的应用前景无比广阔。"擎源"大模型只是一个开始。国家能源集团计划在今年 年底前，将大模型的应用扩展到其 ...

Core Viewpoint - The launch of the "Qingyuan" power generation model, the first trillion-level model in China's power generation industry, aims to support safe, efficient, green, and intelligent operations in the energy sector [1] Group 1: Model Development and Features - The "Qingyuan" model integrates multi-dimensional data such as operational monitoring, equipment status, and meteorological conditions, boasting a parameter scale of trillions [1] - The model is a benchmark achievement for promoting the intelligent transformation of the energy industry and is expected to lead the sector towards digitalization [2] - Over 700TB of industry data was collected, resulting in a high-quality dataset of 450GB, covering various data types, which was annotated by 380 industry experts [3] Group 2: Application Areas - "Qingyuan" has been successfully applied in four major business areas: safety and environmental protection, electricity trading, production scheduling, and equipment maintenance, covering 13 scenarios and deploying 41 intelligent agents [4] - In the safety and environmental protection sector, "Qingyuan" enhances safety management efficiency and supports compliance in hazardous waste management [4] - In electricity trading, "Qingyuan" improves price prediction accuracy by 6.2% compared to traditional methods, leading to a 0.3% reduction in production costs and a 2% increase in profitability for a 600MW generator [5] Group 3: Challenges and Solutions - The power generation industry faces challenges in intelligent upgrades due to its strong specialization and the need for high-quality industry data [2] - There is a cognitive gap between power generation professionals and AI experts, necessitating close collaboration to align technology capabilities with industry needs [2] - To ensure data security, the company implements strict transmission and data management protocols, including one-way data flow and classified data control [6] Group 4: Future Plans - The company plans to advance the "Qingyuan" model through three phases: pilot verification, large-scale promotion, and ecosystem co-construction [7] - The goal is to create an open ecosystem for the power generation industry by unifying technical standards and integrating real-time data with expert knowledge [7]

Group 1: Diplomatic Relations - China and Ghana celebrated the 65th anniversary of diplomatic relations, marking Ghana as one of the first African countries to establish ties with China [1] - The two countries have deepened political mutual trust, with a strategic partnership announced during a meeting between Chinese President Xi Jinping and Ghana's then-President Akufo-Addo in September 2024 [1] Group 2: Economic Cooperation - China remains Ghana's largest trading partner and major source of investment, with bilateral trade reaching $11.8 billion in 2024, a 7.1% increase year-on-year [2] - Over a thousand Chinese enterprises are investing in Ghana across various sectors, including infrastructure, manufacturing, mining, aviation, green energy, and oil refining, creating numerous job opportunities [2] - The first power generation project in Africa, the Sheneng Ansog Power Plant, generated nearly 2.6 billion kilowatt-hours in 2024, alleviating electricity pressure in Ghana [2] Group 3: Cultural Exchange - The Chinese Embassy in Ghana has initiated health care activities for orphans, collaborating with Chinese enterprises and UN agencies to support the "Mother's Love Orphanage" [3] - Chinese universities have established Confucius Institutes in partnership with Ghanaian universities, promoting Chinese language and culture among local students [3] - The ongoing cultural exchanges and educational initiatives are fostering a positive image of China in Ghana and enhancing bilateral relations [3]

Core Insights - The "Qingyuan" power generation model, the world's first trillion-level model in the power industry, has been officially released by the State Energy Group, integrating various data such as operational monitoring, equipment status, and meteorological conditions [1] Group 1: Model Features and Applications - The release of the "Qingyuan" model is a benchmark achievement in implementing the national digital economy strategy and promoting the intelligent transformation of the energy industry [1] - The model shifts safety management from traditional human and physical defenses to an AI-enabled proactive protection system [1] - Operational maintenance transitions from "post-failure repairs and regular maintenance" to "predictive maintenance and condition-based repairs" [1] - Decision-making in trading evolves from relying on experience and localized information to intelligent auxiliary decision-making based on massive data integration and multi-model optimization [1] - Scheduling operations upgrade from manual judgment and single-point optimization to globally coordinated intelligent scheduling that incorporates multi-dimensional information such as meteorological conditions, market supply and demand, and equipment status [1] Group 2: Impact on Specific Areas - In the field of electricity trading, "Qingyuan" acts as a "smart trading advisor," accurately predicting weather changes, warning of water risks, and analyzing market conditions to support spot trading decisions [2] - For a 600-megawatt power generation unit, production costs can decrease by 0.3%, enhancing profitability by 2% [2] - In equipment maintenance, "Qingyuan" can keenly sense the status of units, intelligently formulate maintenance strategies, and shift the maintenance model from traditional "reactive fault handling" to "preventive condition-based maintenance" [2]

Core Insights - The State Energy Group has officially launched the "Qingyuan" power generation model, a billion-level model aimed at creating an intelligent decision-making system covering safety, environmental protection, electricity trading, production regulation, and equipment maintenance [1][2] Group 1: Innovations and Features - The "Qingyuan" model achieves three major innovative breakthroughs: 1. It integrates multi-source heterogeneous data such as operational monitoring, equipment status, and meteorological conditions to create a full-stack product matrix of "model-intelligent agent-application," enabling efficient dynamic collaboration across business units [1] 2. It provides a comprehensive AI solution specifically designed for the power system, covering "source-network-load-storage" scenarios, achieving vertical integration of power production through intelligent technology [1] 3. It utilizes a fully domestic technology stack, combining reinforcement learning and multi-modal fusion technology to establish an adaptive training and decision-making framework, creating a closed-loop verification system covering the entire lifecycle of power generation [1] Group 2: Application and Impact - The "Qingyuan" model has been successfully applied in four major business areas: safety and environmental protection, electricity trading, production regulation, and equipment maintenance, covering 13 scenarios and deploying 41 intelligent agents, effectively addressing pain points such as high safety risks, difficult trading decisions, complex multi-energy coordination, and passive equipment operation and maintenance [1] - In the area of equipment maintenance, the model has been applied in 179 pilot power stations, where it has detected 2,633 defects over six months by monitoring real-time data and sensing minute changes, overcoming challenges related to early defect detection and quantification [2] - The State Energy Group plans to advance the "Qingyuan" model through three phases: pilot verification, large-scale promotion, and ecosystem co-construction, gradually opening API interfaces to industry chain partners to build an open ecosystem for the power generation industry [2]

Core Viewpoint - The launch of China's first trillion-level power generation industry model, "Qingyuan," marks a significant advancement in the energy sector, aiming to lead the industry towards intelligence and digitalization [1][2]. Group 1: Model Overview - "Qingyuan" is developed by the State Power Investment Corporation and encompasses 15 business domains and 75 key application scenarios, integrating various aspects of power generation including construction, operation, maintenance, and fuel management [1]. - The model aims to leverage AI and big data to reshape the energy industry, utilizing the vast data assets of the State Power Investment Corporation, which is the largest power generation company globally [1]. Group 2: Innovations and Features - "Qingyuan" introduces three major innovations, including a multi-energy collaborative dynamic optimization engine that integrates operational monitoring, equipment status, and environmental data [2]. - The model features a full-stack product approach, allowing efficient collaboration among different business intelligent agents, and provides intelligent optimization solutions for the entire power generation process [2]. - It establishes a fully autonomous and controllable intelligent decision-making system based on domestic technology, utilizing reinforcement learning and multi-modal fusion methods [2]. Group 3: Application and Impact - Currently, "Qingyuan" has been successfully applied in various business areas such as safety and environmental protection, power trading, and equipment maintenance, covering 13 scenarios and deploying 41 intelligent agents [2]. - The model addresses long-standing challenges in the power generation industry, including high safety risks, complex multi-energy coordination, and passive equipment maintenance, thereby supporting safe, efficient, green, and intelligent power generation [2].

Group 1: Clean Energy Breakthroughs - The world's first pure ammonia fuel internal combustion engine demonstration ship, "Ammonia Hui," successfully completed its maiden voyage, marking a significant breakthrough in the industrial application of ammonia fuel in the shipping industry, paving a new path for energy conservation and green development in maritime transport [1][6] - The research team overcame challenges related to pure ammonia fuel plasma ignition technology and sustained combustion technology after two years of dedicated research [3] - The successful operation of the pure ammonia-powered demonstration ship validates the potential for ammonia-hydrogen fusion fuel to be applied in various fields, contributing to China's dual carbon goals [6] Group 2: Power Generation Innovations - China's first professional large model for the power generation industry, "Qingyuan," was released, achieving a parameter scale of one hundred billion, enhancing reasoning capabilities and providing a "super brain" for safe, efficient, green, and intelligent power generation [6] - The "Ningdian into Xiang" project, China's first power transmission channel primarily based on renewable energy, successfully completed a 168-hour trial run, demonstrating a transmission capacity of 4 million kilowatts [6][7] - The "Ningdian into Xiang" project, spanning approximately 1,616 kilometers, is the first approved ultra-high voltage transmission channel focused on delivering renewable energy from the "Shagohuang" wind and solar base, addressing the bottleneck of "can generate but cannot transmit" in western regions rich in renewable energy [9] Group 3: Robotics and AI Developments - The first domestic 3V3 AI robot football match concluded, with the Tsinghua Fire God team winning 5-3, marking a significant event in the field of humanoid robotics [11] - This match effectively validated the technical capabilities of robots and enhanced market confidence in robotic products and technologies [16]