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dc.contributor.authorNaji, S
dc.contributor.authorAye, L
dc.contributor.authorNoguchi, M
dc.date.accessioned2020-11-26T06:58:30Z
dc.date.available2020-11-26T06:58:30Z
dc.date.issued2020-11-26
dc.identifier.citationNaji, S., Aye, L. & Noguchi, M. (2020). Dataset on validation of TRNSYS building model for a prefabricated house built in Australia
dc.identifier.urihttp://hdl.handle.net/11343/251937
dc.description.abstractThis dataset includes data from the validation of TRNSYS building model for a prefabricated house built in Australia. The simulated indoor temperatures were compared with the measured ones in Melbourne. The comparison was carried out for the period between 19:00:00 on 31 March 2018 and 00:00:00 on 2 April 2018. Coefficient of determination (R²), Root Mean Square Error (RMSE), Mean Bias Error (MBE), Mean Absolute Error (MAE), and Correlation Coefficient (CC) were applied for quantification of the agreement between simulated and measured temperatures.
dc.titleDataset on validation of TRNSYS building model for a prefabricated house built in Australia
dc.typeDataset
dc.identifier.doi10.17632/79c96pz77j.1
melbourne.affiliation.departmentInfrastructure Engineering
melbourne.identifier.arcIC150100023
melbourne.elementsid1480875
melbourne.openaccess.urlhttps://dx.doi.org/10.17632/79c96pz77j.1
melbourne.openaccess.statusPublished version
melbourne.contributor.authorAye, Lu
melbourne.contributor.authorNoguchi, Masayoshi
melbourne.identifier.fundernameidAUST RESEARCH COUNCIL, IC150100023
melbourne.accessrightsAccess this item via the Open Access location


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