Review on Spatio-Temporal Solar Forecasting Methods Driven by In Situ Measurements or Their Combination with Satellite and Numerical Weather Prediction (NWP) Estimates
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 publish...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-06-01
|
| Series: | Energies |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1996-1073/15/12/4341 |
| _version_ | 1797487786972938240 |
|---|---|
| author | Llinet Benavides Cesar Rodrigo Amaro e Silva Miguel Ángel Manso Callejo Calimanut-Ionut Cira |
| author_facet | Llinet Benavides Cesar Rodrigo Amaro e Silva Miguel Ángel Manso Callejo Calimanut-Ionut Cira |
| author_sort | Llinet Benavides Cesar |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T23:53:40Z |
| format | Article |
| id | doaj.art-86bdf513af8c42758f23f548b16bac6f |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-09T23:53:40Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-86bdf513af8c42758f23f548b16bac6f2023-11-23T16:29:33ZengMDPI AGEnergies1996-10732022-06-011512434110.3390/en15124341Review on Spatio-Temporal Solar Forecasting Methods Driven by In Situ Measurements or Their Combination with Satellite and Numerical Weather Prediction (NWP) EstimatesLlinet Benavides Cesar0Rodrigo Amaro e Silva1Miguel Ángel Manso Callejo2Calimanut-Ionut Cira3Departamento de Ingeniería Topográfica y Cartográfica, Escuela Técnica Superior de Ingenieros en Topografía, Geodesia y Cartografía, Universidad Politécnica de Madrid, Campus Sur, A-3, Km 7, 28031 Madrid, SpainO.I.E. Centre Observation, Impacts, Energy, MINES ParisTech, PSL Research University, 06904 Paris, FranceDepartamento de Ingeniería Topográfica y Cartográfica, Escuela Técnica Superior de Ingenieros en Topografía, Geodesia y Cartografía, Universidad Politécnica de Madrid, Campus Sur, A-3, Km 7, 28031 Madrid, SpainDepartamento de Ingeniería Topográfica y Cartográfica, Escuela Técnica Superior de Ingenieros en Topografía, Geodesia y Cartografía, Universidad Politécnica de Madrid, Campus Sur, A-3, Km 7, 28031 Madrid, SpainTo 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.https://www.mdpi.com/1996-1073/15/12/4341solar forecastingspatio-temporalin situ measurementsreviewstatistical methodsphysical methods |
| spellingShingle | 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 solar forecasting spatio-temporal in situ measurements review statistical methods physical methods |
| title | Review on Spatio-Temporal Solar Forecasting Methods Driven by In Situ Measurements or Their Combination with Satellite and Numerical Weather Prediction (NWP) Estimates |
| title_full | Review on Spatio-Temporal Solar Forecasting Methods Driven by In Situ Measurements or Their Combination with Satellite and Numerical Weather Prediction (NWP) Estimates |
| title_fullStr | Review on Spatio-Temporal Solar Forecasting Methods Driven by In Situ Measurements or Their Combination with Satellite and Numerical Weather Prediction (NWP) Estimates |
| title_full_unstemmed | Review on Spatio-Temporal Solar Forecasting Methods Driven by In Situ Measurements or Their Combination with Satellite and Numerical Weather Prediction (NWP) Estimates |
| title_short | Review on Spatio-Temporal Solar Forecasting Methods Driven by In Situ Measurements or Their Combination with Satellite and Numerical Weather Prediction (NWP) Estimates |
| title_sort | review on spatio temporal solar forecasting methods driven by in situ measurements or their combination with satellite and numerical weather prediction nwp estimates |
| topic | solar forecasting spatio-temporal in situ measurements review statistical methods physical methods |
| url | https://www.mdpi.com/1996-1073/15/12/4341 |
| work_keys_str_mv | AT llinetbenavidescesar reviewonspatiotemporalsolarforecastingmethodsdrivenbyinsitumeasurementsortheircombinationwithsatelliteandnumericalweatherpredictionnwpestimates AT rodrigoamaroesilva reviewonspatiotemporalsolarforecastingmethodsdrivenbyinsitumeasurementsortheircombinationwithsatelliteandnumericalweatherpredictionnwpestimates AT miguelangelmansocallejo reviewonspatiotemporalsolarforecastingmethodsdrivenbyinsitumeasurementsortheircombinationwithsatelliteandnumericalweatherpredictionnwpestimates AT calimanutionutcira reviewonspatiotemporalsolarforecastingmethodsdrivenbyinsitumeasurementsortheircombinationwithsatelliteandnumericalweatherpredictionnwpestimates |