tag:joss.theoj.org,2005:/papers/tagged/building%20energy%20simulationJournal of Open Source Software2023-02-28T14:56:58ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/39422023-02-28T14:56:58Z2023-03-01T00:04:45ZCopper: a performance curve generator for building energy simulationaccepted0.1.52022-10-05 05:35:20 UTC822023-02-28 14:56:58 UTC820234876JérémyLerondPacific Northwest National Laboratory, Richland, WA, USA0000-0002-1630-6886AowabinRahmanPacific Northwest National Laboratory, Richland, WA, USA0000-0003-2543-5126JianZhangPacific Northwest National Laboratory, Richland, WA, USA0000-0001-6125-0407MichaelRosenbergPacific Northwest National Laboratory, Richland, WA, USA0000-0003-1490-311510.21105/joss.04876https://doi.org/10.5281/zenodo.7644215Pythonhttps://joss.theoj.org/papers/10.21105/joss.04876.pdfpython, energy, building, simulation, hvactag:joss.theoj.org,2005:Paper/34112022-10-14T15:45:52Z2022-10-15T00:00:41ZCESAR-P: A dynamic urban building energy simulation toolacceptedV2.0.12022-03-06 11:49:02 UTC782022-10-14 15:45:52 UTC720224261KristinaOrehounigUrban Energy Systems Laboratory, Empa, Duebendorf, Switzerland0000-0001-6491-7641LeonieFierzUrban Energy Systems Laboratory, Empa, Duebendorf, Switzerland0000-0002-1457-537XJamesAllanUrban Energy Systems Laboratory, Empa, Duebendorf, SwitzerlandSvenEggimannUrban Energy Systems Laboratory, Empa, Duebendorf, Switzerland0000-0003-3655-2328NatasaVulicUrban Energy Systems Laboratory, Empa, Duebendorf, SwitzerlandAaronBojarskiUrban Energy Systems Laboratory, Empa, Duebendorf, Switzerland10.21105/joss.04261https://doi.org/10.5281/zenodo.7150137Pythonhttps://joss.theoj.org/papers/10.21105/joss.04261.pdfbuildings, energy consumption, cities, retrofitting solutions, costs and emissionstag:joss.theoj.org,2005:Paper/20012021-04-06T20:46:09Z2021-04-07T00:01:23Zbesos: Building and Energy Simulation, Optimization and Surrogate Modellingaccepted1.6.12020-08-31 16:55:02 UTC602021-04-06 20:46:09 UTC620212677PaulWestermannEnergy in Cities group, Department of Civil Engineering, University of Victoria, British Columbia, Canada, Institute for Integrated Energy Systems, University of Victoria, British Columbia, Canada0000-0002-3676-5211TheodorVictorChristiaanseEnergy in Cities group, Department of Civil Engineering, University of Victoria, British Columbia, Canada, Institute for Integrated Energy Systems, University of Victoria, British Columbia, Canada0000-0003-4082-3338WillBeckettEnergy in Cities group, Department of Civil Engineering, University of Victoria, British Columbia, CanadaPaulKovacsEnergy in Cities group, Department of Civil Engineering, University of Victoria, British Columbia, CanadaRalphEvinsEnergy in Cities group, Department of Civil Engineering, University of Victoria, British Columbia, Canada, Institute for Integrated Energy Systems, University of Victoria, British Columbia, Canada0000-0003-4963-579810.21105/joss.02677https://doi.org/10.5281/zenodo.4667614Pythonhttps://joss.theoj.org/papers/10.21105/joss.02677.pdfbuilding energy simulation, machine learning, optimization, surrogate modelling