Ground-based all-sky imagery and weather datahttps://hdl.handle.net/21.15109/ARP/XVUWKBBarancsuk, LillaARP2024-11-112025-01-27T14:27:19ZGround-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.Computer and Information ScienceEarth and Environmental SciencesEngineeringPhysicsall-sky-imagerymeteorological dataground based remote sensingdeep neural networkimage processingcloudEnglishBarancsuk 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., doi, https://doi.org/10.3390/en17020438 doi: 10.3390/en17020438, https://www.mdpi.com/1996-1073/17/2/4382024-11-09Barancsuk, LillaGroma, VeronikaGünter, Dalma2024-11-092024-11-092024-11-302021-11-112024-08-04KépCC BY-NC-SA 4.0