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Photovoltaic energy conversion models with clustering-based classification of days from irradiance data
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DOI：10.1016/j.solener.2025.114178.png)
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Abstract
En 中文
• Methodology for classifying typical days based on irradiance patterns. • Comparison between clearness and clear sky indices for weather class identification. • Statistical approach based on data clustering to validate day classification. • Data collection from locations with different latitudes and PV system configurations. • Comparison of different energy conversion models to estimate the PV power output.
Keywords:
Clearness index
Clear sky index
Energy models
Weather classification
Clustering
Polito model
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