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...