Machine learning-based framework to predict single and multiple daylighting simulation outputs using neural networks

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dc.contributor.authorRania Labib
dc.creatorLabib, Rania
dc.date.accessioned2025-01-02T18:52:10Z
dc.date.available2025-01-02T18:52:10Z
dc.date.issued2021-09-01
dc.identifier.issn2522-2708
dc.identifier.urihttp://hdl.handle.net/1969.1/1582384
dc.publisherKU Leuven
dc.relation.ispartofBuilding Simulation Conference Proceedings
dc.relation.ispartofProceedings of Building Simulation 2021: 17th Conference of IBPSA
dc.relation.ispartofseriesProceedings of Building Simulation 2021; 17th Conference of IBPSA. Pages 1334 - 1340
dc.rightsCC0 1.0 Universalen
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/
dc.subjectMachine Learning
dc.subjectDaylighting Simulations
dc.subjectArtificial Intelligence
dc.subjectBuilding Performance Simulations
dc.titleMachine learning-based framework to predict single and multiple daylighting simulation outputs using neural networks
dc.typeproceedings-article
local.departmentArchitecture

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