Towards maximum efficiency in heat pump operation: Self-optimizing defrost initiation control using deep reinforcement learning
Energy and Buildings, vol. 297, pp. 113397
Authors 5
-
Jonas Klingebiel corresponding Aachen E.ON Energy Research Center Institute for Energy Efficient Buildings and Indoor Climate
Affiliation as printed
RWTH Aachen University, E.ON Energy Research Center, Institute for Energy Efficient Buildings and Indoor Climate, Mathieustr. 10, Aachen, Germany
-
Moritz Salamon Aachen E.ON Energy Research Center Institute for Energy Efficient Buildings and Indoor Climate
Affiliation as printed
RWTH Aachen University, E.ON Energy Research Center, Institute for Energy Efficient Buildings and Indoor Climate, Mathieustr. 10, Aachen, Germany
-
Valerius Venzik Aachen E.ON Energy Research Center Institute for Energy Efficient Buildings and Indoor Climate
Affiliation as printed
RWTH Aachen University, E.ON Energy Research Center, Institute for Energy Efficient Buildings and Indoor Climate, Mathieustr. 10, Aachen, Germany
-
Christian Vering Aachen E.ON Energy Research Center Institute for Energy Efficient Buildings and Indoor Climate
Affiliation as printed
RWTH Aachen University, E.ON Energy Research Center, Institute for Energy Efficient Buildings and Indoor Climate, Mathieustr. 10, Aachen, Germany
-
Dirk Müller Aachen E.ON Energy Research Center Institute for Energy Efficient Buildings and Indoor Climate
Affiliation as printed
RWTH Aachen University, E.ON Energy Research Center, Institute for Energy Efficient Buildings and Indoor Climate, Mathieustr. 10, Aachen, Germany
Cited by 37 stored of 39
No patents citing this paper on Lens.org (checked 2026-10-06).