2025-01-162025-01-162024-10Martín, J.G., Frejo, J.R.D., Maestre, J.M. y Camacho, E.F. (2024). Spatio-temporal Kriging for spatial irradiance estimation with short-term forecasting in a thermosolar power plant. Heliyon, 10 (20), e39247. https://doi.org/10.1016/j.heliyon.2024.e39247.2405-8440https://hdl.handle.net/11441/166830© 2024 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).This article proposes a method to improve the efficiency of solar power plants by estimating and forecasting the spatial distribution of direct normal irradiance (DNI) using a sensor network and anemometer data. For this purpose, the proposed approach employs spatio-temporal kriging with an anisotropic spatio-temporal variogram that depends on wind speed to accurately estimate the distribution of DNI in real-time, making it useful for short-term forecast and nowcast of DNI. Finally, the method is validated using synthetic data from varying sky conditions, outperforming another state-of-the-art technique.application/pdf13 p.engAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/Direct normal irradianceDistributed estimationForecastingKrigingSensor networksThermosolar plantinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccess10.1016/j.heliyon.2024.e39247