Building Energy Use Intensity Prediction with Artificial Neural Networks

Uproszczony widok
dc.contributor.authorStokfiszewski, Kamil
dc.contributor.authorSztoch, Przemysław
dc.contributor.authorSztoch, Ryszard
dc.contributor.authorWosiak, Agnieszka
dc.date.accessioned2023-09-25T05:39:28Z
dc.date.available2023-09-25T05:39:28Z
dc.date.issued2023
dc.description.abstractIn this paper the authors propose the construction and examine the performance of the artificial neural network for energy use intensity prediction for residential buildings. The network’s type is the standard multilayer perceptron and its training dataset contains the data of 768 residential buildings where the training pattern for an individual building consists of 8 parameters describing the building’s geometry along with its lighting and glazing conditions while the only output value is the building’s actual energy use intensity characteristics. Experimental study shows that the mean absolute percentage error of prediction of the energy use intensity evaluated for buildings data present in the network’s test set does not exceed 1.8%, what might be considered a highly satisfactory result.en_EN
dc.identifier.citationStokfiszewski K., Sztoch P., Sztoch R., Wosiak A., Building Energy Use Intensity Prediction with Artificial Neural Networks. W: Progress in Polish Artificial Intelligence Research 4, Wojciechowski A. (Ed.), Lipiński P. (Ed.)., Seria: Monografie Politechniki Łódzkiej Nr. 2437, Wydawnictwo Politechniki Łódzkiej, Łódź 2023, s. 313-318, ISBN 978-83-66741-92-8, doi: 10.34658/9788366741928.50.
dc.identifier.doi10.34658/9788366741928.50
dc.identifier.isbn978-83-66741-92-8
dc.identifier.urihttp://hdl.handle.net/11652/4826
dc.identifier.urihttps://doi.org/10.34658/9788366741928.50
dc.language.isoenen_EN
dc.page.numbers. 313-318
dc.publisherWydawnictwo Politechniki Łódzkiejpl_PL
dc.publisherLodz University of Technology Pressen_EN
dc.relation.ispartofWojciechowski A. (Ed.), Lipiński P. (Ed.)., Progress in Polish Artificial Intelligence Research 4, Seria: Monografie Politechniki Łódzkiej Nr. 2437, Wydawnictwo Politechniki Łódzkiej, Łódź 2023, ISBN 978-83-66741-92-8, doi: 10.34658/9788366741928.
dc.rightsDla wszystkich w zakresie dozwolonego użytkupl_PL
dc.rightsFair use conditionen_EN
dc.rights.licenseLicencja PŁpl_PL
dc.rights.licenseLUT Licenseen_EN
dc.subjectenergy use intensityen_EN
dc.subjectneural networksen_EN
dc.subjectstatistical predictionen_EN
dc.subjectintensywność zużycia energiipl_PL
dc.subjectsieci neuronowepl_PL
dc.subjectpredykcja statystycznapl_PL
dc.titleBuilding Energy Use Intensity Prediction with Artificial Neural Networksen_EN
dc.typeRozdział - monografiapl_PL
dc.typeChapter - monographen_EN

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