Application of data-driven methods for energy system modelling demonstrated on an adaptive cooling supply system
Energy, vol. 230, pp. 120894
Authors 6
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Christoph Netsch 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, Aachen, Germany
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Sören Eschweiler 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, Aachen, Germany
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Tianyuan Wang 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, Aachen, Germany
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Thomas Storek 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, Aachen, Germany
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Marc Baranski 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, Aachen, Germany
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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, Aachen, Germany
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