【深圳特区报】深能源：AI“望天”更准，绿电调度更稳

Core Viewpoint - The integration of AI technology in green energy is transforming the industry, with Shenzhen Energy Group and Huawei Cloud leading the way in developing an AI-based meteorological model for renewable energy power forecasting [1][4]. Group 1: AI and Renewable Energy Transformation - Shenzhen Energy Group has partnered with Huawei Cloud to apply the Pangu meteorological model for predicting power generation from wind, solar, and hydropower, creating the world's first AI-based renewable power forecasting platform [1][4]. - The rapid growth of renewable energy installations in China has surpassed 1.2 billion kilowatts by July 2024, exceeding coal power for the first time [3]. - Traditional weather forecasting methods face challenges in accuracy and timeliness, which are critical for the stability of renewable energy generation [3][4]. Group 2: Technological Advancements - The Pangu meteorological model offers significant improvements, achieving a resolution of up to 1 kilometer and a speed increase of 10,000 times, providing second-level weather forecasts [4]. - The system has been implemented in four pilot sites, showing a 15% overall improvement in weather prediction accuracy, a 10% increase in wind power forecasting precision, and a 2% enhancement in solar power forecasting [4]. Group 3: Future Applications and Industry Impact - The AI system is expected to extend its capabilities to hydropower, enabling precise predictions of rainfall and extreme weather events, thereby enhancing revenue and disaster resilience [5][6]. - The collaboration between Shenzhen Energy and Huawei Cloud exemplifies the implementation of the "Artificial Intelligence +" strategy in state-owned enterprises, paving the way for broader applications in energy and meteorology [6]. - The "Shenzhen model" is moving from pilot projects to large-scale replication, with ongoing efforts to explore the application of meteorological models in power forecasting, electricity trading, and other areas [6].