Core Viewpoint - The National Energy Group is leading the digital transformation in the renewable energy sector, particularly in offshore wind power, by implementing advanced technologies and data-driven solutions to enhance operational efficiency and safety [1][4][10]. Group 1: Digital Transformation and Innovation - The National Energy Group's Longyuan Power has successfully developed an intelligent diagnosis and safety prevention data set for wind power equipment, which has been recognized by the State-owned Assets Supervision and Administration Commission [1][4]. - Longyuan Power has established the world's largest digital platform for renewable energy production, collecting data from 1,004 energy stations, with a data scale of 60 million points and daily data growth of 580GB [6][7]. - The company has implemented a digital transformation plan called "164," focusing on standardizing and unifying management across all energy stations to improve operational efficiency and safety [6][9]. Group 2: Operational Efficiency and Cost Reduction - The introduction of an autonomous detection platform combining unmanned boats and underwater robots has reduced the time for fault location from over 20 days to just 2 days, and inspection costs have decreased to one-tenth of previous levels [3][11]. - Longyuan Power's self-developed real-time warning models have enabled rapid fault diagnosis, significantly reducing the risk of accidents and equipment damage [8][11]. - The company has achieved a 90% cost reduction compared to similar foreign technologies in underwater detection, enhancing operational support for offshore wind projects [11]. Group 3: Industry Leadership and Future Prospects - By 2024, China's wind power installed capacity is expected to reach approximately 510 million kilowatts, indicating significant growth in the sector [4]. - Longyuan Power has positioned itself as a pioneer in the wind power industry, addressing common challenges such as safety risks and operational efficiency through innovative solutions [4][10]. - The company has made substantial advancements in artificial intelligence, developing a power curve image recognition model that improves efficiency and accuracy in performance monitoring of wind turbines [11][12].