南方电网用人工智能实践作答“能源高质量发展”时代考题

Core Insights - The company aims to empower high-quality energy development through AI integration, focusing on practical outcomes from policy requirements [1] - The integration of AI with energy and power sectors is seen as a significant innovation, enhancing the synergy between electricity and carbon management [2] Group 1: AI and Energy Integration - The company is accelerating the construction of an "electric-carbon-computing" system to address challenges posed by the integration of data and power transmission projects [2] - A four-dimensional testing matrix has been developed to achieve a 95% accuracy rate in predicting power consumption for computing resources [2] - The company has created a real-time power-computing measurement system, successfully tested in Guangzhou, which aims to make computing resource usage as convenient and quantifiable as electricity [2][3] Group 2: Data Activation and Value Release - The company is leveraging AI to break down data barriers and activate dormant energy data resources, establishing a complete data value release chain [4] - A data asset management platform has been established to facilitate the regular collection and monitoring of vast amounts of data, with plans to launch a trusted data space in August 2024 [4] - The company has collaborated with over 280 ecosystem entities to create high-value application scenarios, enhancing data accessibility and utilization [4] Group 3: AI-Driven Operational Efficiency - The "electric-carbon-computing collaborative operation system" developed by the company acts as an intelligent navigation tool for power consumption and carbon emissions monitoring [3] - This system has enabled a reduction of over 10% in computing operation costs by dynamically adjusting tasks based on electricity price fluctuations [3] - The company has achieved a 100% green electricity supply for all venues at the Guiyang International Big Data Industry Expo, significantly reducing coal consumption and carbon emissions [3] Group 4: Ecosystem and Technological Innovation - The company is focusing on building a robust AI technology foundation, with proprietary models enhancing simulation and optimization capabilities [7] - The "Da Watt" series of models has been recognized for its superior performance in simulating power system operations, significantly improving analysis speed and accuracy [7] - The company has invested in a scalable computing capacity of nearly 1400 PFLOPS, supporting its ongoing technological advancements [7] Group 5: Practical Applications and Impact - AI has enabled the company to achieve a 97% renewable energy consumption rate, positioning it among the top in the country [8] - The company has conducted the largest cross-provincial vehicle-grid interaction experiment in the country, involving over 100,000 electric vehicles [8] - AI-driven interventions in urban power management have led to a 43% reduction in average power restoration times, enhancing public satisfaction [8]