Ground-based all-sky imagery and weather data
Ground-based remote sensing all-sky imagery recorded using a wide lens all-sky camera, meteorological measurements, and sky-parameter dataset calculated from the images using image processing and neural network architectures pre-trained with the datasets. The data collected during the project is recorded at the HUN-REN Center for Energy Research (HUN-REN CER) as part of the internal research project "Ultra-short-term irradiation forecasting using a combination of deep learning and image processing". The research aims to support the proper quality of power grid services, by forecasting solar radiation in the ultra-short-term, leading to improved operation of photovoltaic plants. The forecast is based on sky camera images and weather data, using a combination of deep learning and traditional image processing methodologies.
Barancsuk L, Groma V, Günter D, Osán J, Hartmann B. Estimation of Solar Irradiance Using a Neural Network Based on the Combination of Sky Camera Images and Meteorological Data. Energies. 2024; 17(2):438.