J. Pearce

Open-Source Machine Learning Framework for Fully Electrified Residential Load Prediction: A Temperature-to-kWh Model Using XGBoost

An open-source, scalable temperature-driven extreme gradient boosting (XGBoost) algorithm model is developed to predict temperature-to-kWh for residential houses and showed the novel XGBoost configuration outperformed baseline methods and yielded accuracy comparable to or better than reported deep-learning implementati...

Future climate change impacts on strawberry farming under agrivoltaic protection