Core Viewpoint - The release of the 3.0 version of the "Kuangming" model by Guoneng Rixin represents a significant advancement in the digital intelligence upgrade of the renewable energy industry, establishing new benchmarks through comprehensive technological innovations [1][2]. Group 1: Technological Innovations - The "Kuangming" 3.0 version features a full-dimensional technological innovation from observation perception, structural modeling to high-precision decoding, enhancing its capabilities in long-term trend analysis and extreme weather response [1]. - The model is built on a unique data pool sourced from 45 years of high-quality ERA5 reanalysis data, eight mainstream NWP model initial fields, over 20 types of global satellite, sounding, and aircraft observation data, along with real measurement data from nearly 6,000 renewable energy stations [2]. - The model provides precise power forecasting and reliable market decision support for renewable energy companies by accurately reflecting renewable energy scenarios and outputting key meteorological factors for wind and solar energy [2]. Group 2: Team and Infrastructure - The development of the "Kuangming" model is supported by a multidisciplinary team of over 100 AI algorithm, meteorology, and data engineering experts, along with dozens of PhD specialists, ensuring a deep integration of research and engineering [1]. - High-performance computing (HPC) and GPU clusters form the computational backbone of the model, enabling efficient processing of vast meteorological and renewable energy data [1]. Group 3: Future Directions - Guoneng Rixin plans to continue deepening the iteration of the "Kuangming" model and actively extend its technical application scenarios, aiming to unlock the practical value of big data in renewable energy [2]. - The company emphasizes its commitment to contributing to global climate change responses and achieving energy security and development through the ongoing evolution of its technologies [2].