Microclimate Simulation under Solar Panels – AI-Enabled Models for Temperature, Humidity, and Light Optimization” is a 3-day practical workshop that teaches how to build, evaluate, and deploy simple AI models to simulate and optimize microclimate conditions in solar energy systems, such as agrivoltaic farms.
Participants will explore data loading, basic preprocessing, simulation modeling, rule-based and machine learning approaches, and optimization techniques. Case studies from real-world solar farms, weather monitoring, and environmental datasets will be integrated for hands-on experience using guided Python notebooks.
