Data for "Evaluating single-zone grey-box thermal models: Impact of model structure on prediction accuracy and computational cost"

DOI

This data repository provides the datasets for the research paper, "Evaluating Single-Zone Grey-Box Thermal Models: Impact of Model Structure on Prediction Accuracy and Computational Cost". The study systematically compares low-order grey-box RC model structures using high-fidelity synthetic data across multiple BESTEST/BOPTEST scenarios and climates, quantifying the trade-offs between prediction accuracy and computational time.This repository includes two main folders of the simulation results and figure's data.exported_rawdata/ — performance indices from the simulations of the identified grey-box RC models: These datasets include the key performance indices such as RMSE and computation time for the combined and separated case scenarios.exported_figdata/ — processed data to reproduce all figures: These datasets are the processed data tables used for regenerating the figures in the manuscripts.

Identifier
DOI https://doi.org/10.5522/04/30082495.v1
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Metadata Access https://api.figshare.com/v2/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:figshare.com:article/30082495
Provenance
Creator Chen, Guokai ORCID logo; Korolija, Ivan; Rovas, Dimitrios
Publisher University College London UCL
Contributor Figshare
Publication Year 2026
Rights https://creativecommons.org/licenses/by/4.0/
OpenAccess true
Contact researchdatarepository(at)ucl.ac.uk
Representation
Language English
Resource Type Dataset
Discipline Design; Fine Arts, Music, Theatre and Media Studies; Humanities