Physics-informed linear regression is competitive with two Machine Learning methods in residential building MPC. (arXiv:2110.15911v2 [cs.LG] UPDATED)

Because physics-based building models are difficult to obtain as each
building is individual, there is an increasing interest in generating models
suitable for building MPC directly from measurement data. Machine learning
methods have been widely applied to this problem and validated mostly in
simulation; there are, however, few studies on a direct comparison of different
models or validation in real buildings to be found in the literature. Methods
that are indeed validated in application often lead to computationally complex
non-convex …

arxiv building learning linear regression machine machine learning physics regression