Core Viewpoint - The "Implementation Opinions" aim to establish a management system for the integration of "Artificial Intelligence+" in the energy sector, providing a top-level design and action guide to promote high-quality development in the industry [1] Group 1: Current Challenges and Development Goals - The current state of AI application in the energy sector is characterized by fragmented development, leading to resource redundancy and systemic barriers, which hinder long-term AI development [2] - The "Implementation Opinions" set two key development goals for 2027 and 2030, focusing on foundational work and establishing benchmarks in the first phase, and achieving world-leading AI technology in the energy sector by 2030 [2] Group 2: Implementation Pathways - The "Implementation Opinions" outline a systematic approach to enhance the quality and efficiency of AI in the energy sector, emphasizing breakthroughs in key technologies, widespread application of industry-level models, and deep empowerment of high-value scenarios [3] - Key technology support areas include solidifying data foundations, enhancing computational power, and improving model capabilities to provide a reliable basis for AI technology validation and continuous iteration [3] Group 3: Specialized AI Model Development - The transition from general AI models to specialized models is crucial, with a focus on developing over five specialized models tailored to the characteristics of energy sectors such as electricity, coal, and oil and gas [4] - The "Implementation Opinions" emphasize the need for deep applications in high-value scenarios, including power grids and new energy sources, to enhance AI's role in energy supply-demand balance and safety monitoring [4] Group 4: Innovation Ecosystem - The "Implementation Opinions" focus on building an innovation ecosystem by promoting pilot demonstrations, establishing standards, and fostering collaborative mechanisms to stimulate sustainable development in the "Artificial Intelligence+" energy sector [5] - A comprehensive standard system covering AI technology development, application, and evaluation will be established to ensure orderly industry development and facilitate the sharing of data and computational resources [6] - Collaborative innovation will be strengthened through the establishment of innovation platforms and alliances, promoting a virtuous cycle of integration between industry, academia, and research [6]
推动能源领域人工智能与行业深度融合发展
Zhong Guo Dian Li Bao·2025-10-20 02:08