Time Series Forecasting, Applications on Low Voltage Grid Data KU Leuven
In an era marked by the pressing need to address climate change, innovative solutions in energy management are becoming increasingly crucial. In this thesis, three main contributions to the field of energy forecasting are presented. The first contribution is a novel method for long-term forecasting of individual household electricity consumption, demonstrating high accuracy and scalability. The second introduces a global probabilistic ...