Space Data, Inc. (Headquarters: Minato-ku, Tokyo; President and CEO: Kohei Sato; hereinafter "Space Data") has added a new feature, "Thunder & Blackout," to its AI-powered disaster damage prediction and assessment tool, "Storm Simulator," which predicts and assesses damage from weather disasters. This new feature simulates power outages caused by lightning strikes. The system estimates the range of power outages, the number of affected households and population, and the estimated recovery time, starting from the location and current of lightning strikes on a 3D urban model, and visually represents the spread of damage in three dimensions. ■ Background of Development Lightning strikes can cause sudden power outages even in urban areas, either through direct strikes on power transmission and distribution equipment or induced lightning. While power outages can cascade and affect social functions such as transportation, communication, healthcare, and data centers, it has not been easy to grasp the extent of the affected area, the number of households and people impacted, immediately after an outage occurs. Space Data's disaster risk assessment AI, "Storm Simulator," which utilizes satellite data and digital twin technology, has previously focused on typhoons, heavy rain, and floods. With the addition of lightning strikes, the system can now comprehensively assess power outage damage caused by lightning. ■ Key Features of "Thunder & Blackout" *This simulation utilizes Google Photorealistic 3D Tiles, Cesium, and Geospatial Information Authority of Japan aerial photography tiles as 3D base data, combined with sample data on district information, outage areas, population, and household numbers, and a simplified estimation model. The estimated outage range and recovery time are based on sample data; integration with real-time data such as power grids, weather, and lightning observations is planned for future expansion. Estimation of power outage damage originating from light