A physics-based domain adaptation framework for modelling and forecasting building energy systems

Zack Xuereb Conti, Ruchi Choudhary, Luca Magri

State-of-the-art machine-learning-based models are a popular choice for modeling and forecasting energy behavior in buildings because given enough data, they are good at finding sp…