Webinar on Demand “When AI meets the sky: All sky imagers”

Webinar Series Part 22:

When AI meets the sky: All sky imagers – from basic research to energy applications

This webinar showcases innovative cloud observation and classification methods and their applications in renewable energy forecasting. Mehdi Ben Slama from Reuniwatt presents advances in cloud type classification using all-sky imagers, including novel approaches to estimate multi-layer cloud amounts from single images. Emanuele Giovanni Carlo Ogliari from Politecnico di Milano discusses machine learning methods for short-term solar radiation nowcasting based on sequences of infrared all-sky images, highlighting improvements over traditional persistence models. Prof. Stephanie Fiedler leads the event, emphasizing how these advanced techniques enhance solar radiation forecasts critical for electric grid stability and management. The webinar offers insights into cutting-edge atmospheric science developments and their practical implications, with a final discussion on cloud observation, modeling, and solar radiation prediction.

Topics discussed

• How advanced cloud observation and prediction techniques contribute to more accurate solar radiation forecasts, crucial for managing electric grids and renewable energy systems

Language: English

Initial broadcast date: April 10th, 2025