南方电网首席人工智能官李鹏解读《关于推进“人工智能+”能源高质量发展的实施意见》

Core Viewpoint - The article emphasizes the importance of integrating artificial intelligence (AI) into the energy sector to enhance high-quality development and support the construction of a new energy system [2][3][10] Group 1: Strategic Guidance - The release of the "Implementation Opinions" provides a strategic direction for the energy sector to seize opportunities in AI development and promotes deep integration of AI with energy [3][4] - AI is recognized as a key driver for a new round of technological revolution and industrial transformation, making the integration of AI and energy a systemic change that requires careful planning and execution [5] Group 2: Application Focus - The article highlights the need for high-value application scenarios in the energy sector, identifying eight key areas for AI application, including AI in power grids and renewable energy [6] - The focus on application aims to address common bottlenecks in the industry, such as insufficient high-value scenarios and low resource sharing, thereby facilitating the implementation of AI in energy [6] Group 3: Practical Exploration - The Southern Power Grid Company has proactively engaged in AI practices, establishing significant infrastructure and launching the first self-controlled large model "Dawatt" to support the new power system and energy framework [7][8] - The company has planned over 350 application scenarios across various business domains, significantly enhancing the effectiveness of energy services [8] Group 4: Key Technology Supply - The article stresses the importance of core elements such as computing power, data, and models for the development of AI in the energy sector, advocating for self-reliance and innovation [9] - The establishment of a fully autonomous computing cluster and high-quality data sets is crucial for supporting AI innovation in the power sector [9] Group 5: Future Vision - The Southern Power Grid aims to embrace AI comprehensively, leveraging its advantages in digital transformation and data assets to create a "digital grid intelligence" that promotes efficient human-machine collaboration [10] - The company seeks to contribute to national AI innovation and provide solutions for global energy transition towards a green and sustainable future [10]