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January 27, 2026International Journal of Electrical Power & Energy SystemsOpen Access

Improving photovoltaic power forecasting accuracy: a comparative study of hybrid models and PVGIS

Masoud Mardani Siamak Hosseinzadeh Francesco Mancini Davide Astiaso Garcia

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Key Points

Forecasting accuracy improved significantly in hybrid models compared to traditional methods, showing promise for better solar energy utilization.
The study achieved a precise forecasting accuracy of 92% using the hybrid model, leveraging data from PVGIS and machine learning.
Assessment across various models highlighted the strengths of hybrid approaches in capturing complex solar patterns effectively.
Such advancements may enhance solar energy integration and reliability, benefiting energy management systems in diverse environments.

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Implication

Comparative analysis demonstrates enhanced forecasting accuracy for solar energy models, suggesting improved predictions.

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Cite This Study

Mardani et al. (2026) studied this question.

synapsesocial.com/papers/69a75ad8c6e9836116a21310 https://doi.org/10.1016/j.ijepes.2025.111534

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