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Projecting solar peak hours in southern Spain using temperature-based machine learning models until 2100

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  • Bellido-Jiménez, Juan Antonio
  • Estévez, Javier
  • García-Marín, Amanda P.

Abstract

The present work firstly assessed the performance of several temperature-based machine learning models for estimating daily solar radiation (Rs) in Andalusia (Southern Spain) using meteorological data from 122 weather stations. The most accurate models were used to then obtain solar peak hours (SPH) projections up to 2100, providing a standardized measure of the solar energy available per year. All the models outperformed the empirical Hargreaves-Samani method at all locations, obtaining the best results, in general, using multilayer perceptron model.

Suggested Citation

  • Bellido-Jiménez, Juan Antonio & Estévez, Javier & García-Marín, Amanda P., 2026. "Projecting solar peak hours in southern Spain using temperature-based machine learning models until 2100," Applied Energy, Elsevier, vol. 408(C).
    • Handle: RePEc:eee:appene:v:408:y:2026:i:c:s0306261926000474
    DOI: 10.1016/j.apenergy.2026.127395
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