Benchmarking five physics-guided machine learning approaches for model predictive control in building energy systems

SSRN Electronic Journal

Authors 3

1. Patrick Henkel Aachen E.ON Energy Research Center Institute for Energy Efficient Buildings and Indoor Climate

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University , E.ON Energy Research Center , Institute for Energy Efficient Buildings and Indoor Climate , Mathieustraße 10 , Aachen 52074 , Germany

2. Martin Rätz Aachen E.ON Energy Research Center Institute for Energy Efficient Buildings and Indoor Climate

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University , E.ON Energy Research Center , Institute for Energy Efficient Buildings and Indoor Climate , Mathieustraße 10 , Aachen 52074 , Germany

3. Dirk Müller Aachen E.ON Energy Research Center Institute for Energy Efficient Buildings and Indoor Climate

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University , E.ON Energy Research Center , Institute for Energy Efficient Buildings and Indoor Climate , Mathieustraße 10 , Aachen 52074 , Germany