Online Machine Learning for 1-Day-Ahead Prediction of Indoor Photovoltaic Energy
We explore the potential for predicting indoor photovoltaic energy on a forecasting horizon of up to 24 hours.The objective is to enable energy management approaches that exploit harvesting opportunities more strategically, for which they require more accurate Microwave/Wall Oven energy intake predictions.Our study is based on a data set covering o