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

Llinet Benavides Cesar; Rodrigo Amaro e Silva; Miguel Ángel Manso Callejo; Calimanut-Ionut Cira

LAPSE:2023.12490

Published Article

LAPSE:2023.12490

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

Llinet Benavides Cesar, Rodrigo Amaro e Silva, Miguel Ángel Manso Callejo, Calimanut-Ionut Cira

February 28, 2023

Abstract
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.

Record ID

LAPSE:2023.12490

Keywords

deep learning methods, hybrid methods, in situ measurements, machine learning methods, physical methods, review, solar forecasting, spatio-temporal, statistical methods

Subject

Numerical Methods and Statistics

Suggested Citation

Benavides Cesar L, Amaro e Silva R, Manso Callejo MÁ, Cira CI. Review on Spatio-Temporal Solar Forecasting Methods Driven by In Situ Measurements or Their Combination with Satellite and Numerical Weather Prediction (NWP) Estimates. (2023). LAPSE:2023.12490

Author Affiliations

Benavides Cesar L: Departamento 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, Spain [ORCID]
Amaro e Silva R: O.I.E. Centre Observation, Impacts, Energy, MINES ParisTech, PSL Research University, 06904 Paris, France [ORCID]
Manso Callejo MÁ: Departamento 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, Spain [ORCID]
Cira CI: Departamento 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, Spain [ORCID]

Journal Name

Energies

Volume

15

Issue

12

First Page

4341

Year

2022

Publication Date

2022-06-14