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Article Dans Une Revue Energies Année : 2022

Review on Spatio-Temporal Solar Forecasting Methods Driven by In Situ Measurements or Their Combination with Satellite and Numerical Weather Prediction (NWP) Estimates

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Résumé

To better forecast solar variability, spatio-temporal methods exploit spatially distributed solar time series, seeking to improve forecasting accuracy by including neighboring solar information. This review work is, to the authors’ understanding, the first to offer a compendium of references published since 2011 on such approaches for global horizontal irradiance and photovoltaic generation. The identified bibliography was categorized according to different parameters (method, data sources, baselines, performance metrics, forecasting horizon), and associated statistics were explored. Lastly, general findings are outlined, and suggestions for future research are provided based on the identification of less explored methods and data sources.

Dates et versions

hal-03707435 , version 1 (28-06-2022)

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Llinet Benavides Cesar, Rodrigo Amaro E Silva, Miguel Ángel Manso Callejo, Calimanut-Ionut Cira. Review on Spatio-Temporal Solar Forecasting Methods Driven by In Situ Measurements or Their Combination with Satellite and Numerical Weather Prediction (NWP) Estimates. Energies, 2022, 15 (12), pp.4341. ⟨10.3390/en15124341⟩. ⟨hal-03707435⟩
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