Solar Forecasting Based On All Sky Imaging, Long Short-term Memory

Researchers have developed a novel machine learning model that uses all-sky imaging to accurately forecast short-term solar irradiance. The model, based on long short-term memory (LSTM) technique, combines data from all-sky images and local meteorological data to predict cloud coverage and movement. This approach has the potential to improve solar energy forecasting and increase efficiency in solar power systems.