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Open access Sep 2026

Performance Prediction of Solar-Powered Domestic Fridge in Hot-Humid Climates Using Machine Learning

The intermittent nature of solar energy and dynamic environmental conditions pose significant challenges to the performance and reliability of solar-powered refrigeration systems in hot-humid climates. While traditional thermodynamic models offer limited predictive capability under real-world variability, machine lea...

J. Acheampong, T. Adu, D. Marfo · 0 citations

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