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Physics-informed linear regression is competitive with two Machine Learning methods in residential building MPC
However, we also see that the physics-informed ARMAX models have a lower computational burden, and a superior sample efficiency compared to the Machine Learning based models.
Input Convex Neural Networks for Building MPC
We assess the consequences of the additional constraints for the model accuracy and test the models in a real-life MPC experiment in an apartment in Switzerland.
Robust MPC with data-driven demand forecasting for frequency regulation with heat pumps
By combining a control scheme based on Robust Model Predictive Control, with affine policies, and heating demand forecasting based on Artificial Neural Networks with online correction methods, we offer frequency regulation reserves and maintain user comfort with a system comprising a heat pump and buffer storage.
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