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Conference Paper: Prediction of Building Energy Use Intensity and Detection of Outliers with Bagging Regression Models

TitlePrediction of Building Energy Use Intensity and Detection of Outliers with Bagging Regression Models
Authors
LI, ZDing, YGan, VMa, J
Issue Date2020
Citation
The 8th International Conference on Innovative Production and Construction (IPC 2020) and The 8th International Conference on Construction Engineering and Project Management (ICCEPM 2020):Towards Advancement in Technologies and Processes for Smart Buildings and Construction, Webinar, Hong Kong, 7-8 December 2020 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/309304

 

DC FieldValueLanguage
dc.contributor.authorLI, Z-
dc.contributor.authorDing, Y-
dc.contributor.authorGan, V-
dc.contributor.authorMa, J-
dc.date.accessioned2021-12-29T02:13:10Z-
dc.date.available2021-12-29T02:13:10Z-
dc.date.issued2020-
dc.identifier.citationThe 8th International Conference on Innovative Production and Construction (IPC 2020) and The 8th International Conference on Construction Engineering and Project Management (ICCEPM 2020):Towards Advancement in Technologies and Processes for Smart Buildings and Construction, Webinar, Hong Kong, 7-8 December 2020-
dc.identifier.urihttp://hdl.handle.net/10722/309304-
dc.languageeng-
dc.relation.ispartofThe 8th International Conference on Innovative Production and Construction (IPC 2020)-
dc.titlePrediction of Building Energy Use Intensity and Detection of Outliers with Bagging Regression Models-
dc.typeConference_Paper-
dc.identifier.emailMa, J: junma@hku.hk-
dc.identifier.authorityMa, J=rp02719-
dc.identifier.hkuros331147-
dc.publisher.placeHong Kong-

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