21.15109/ARP/XVUWKBBarancsuk, LillaLillaBarancsuk0000-0002-3036-0133Centre for Energy ResearchARP2024Computer and Information ScienceEarth and Environmental SciencesEngineeringPhysicsall-sky-imagerymeteorological dataground based remote sensingdeep neural networkimage processingcloudBarancsuk, LillaLillaBarancsukCentre for Energy ResearchBarancsuk, LillaLillaBarancsukHUN-REN Centre for Energy ResearchGroma, VeronikaVeronikaGromaGünter, DalmaDalmaGünter2024-11-092024-11-092025-01-272021-11-11/2024-08-04Kép10.5158/ARP/XVUWKB10.3390/en17020438 doi: 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BY-NC-SA 4.0Ground-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.This dataset contains the images zipped by day.Budapest