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The robustness of black and grey-box models of thermal building behaviour against weather changes

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The robustness of black and grey-box models of thermal building behaviour against weather changes. / Hauge Broholt, Thea; Dahl Knudsen, Michael; Petersen, Steffen.
In: Energy and Buildings, Vol. 275, 112460, 11.2022.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

Harvard

Hauge Broholt, T, Dahl Knudsen, M & Petersen, S 2022, 'The robustness of black and grey-box models of thermal building behaviour against weather changes', Energy and Buildings, vol. 275, 112460. https://doi.org/10.1016/j.enbuild.2022.112460

APA

Hauge Broholt, T., Dahl Knudsen, M., & Petersen, S. (2022). The robustness of black and grey-box models of thermal building behaviour against weather changes. Energy and Buildings, 275, Article 112460. https://doi.org/10.1016/j.enbuild.2022.112460

CBE

Hauge Broholt T, Dahl Knudsen M, Petersen S. 2022. The robustness of black and grey-box models of thermal building behaviour against weather changes. Energy and Buildings. 275:Article 112460. https://doi.org/10.1016/j.enbuild.2022.112460

MLA

Hauge Broholt, Thea, Michael Dahl Knudsen, and Steffen Petersen. "The robustness of black and grey-box models of thermal building behaviour against weather changes". Energy and Buildings. 2022. 275. https://doi.org/10.1016/j.enbuild.2022.112460

Vancouver

Hauge Broholt T, Dahl Knudsen M, Petersen S. The robustness of black and grey-box models of thermal building behaviour against weather changes. Energy and Buildings. 2022 Nov;275:112460. doi: 10.1016/j.enbuild.2022.112460

Author

Hauge Broholt, Thea ; Dahl Knudsen, Michael ; Petersen, Steffen. / The robustness of black and grey-box models of thermal building behaviour against weather changes. In: Energy and Buildings. 2022 ; Vol. 275.

Bibtex

@article{a79d42149a9741eba27c5ed14bc962f8,
title = "The robustness of black and grey-box models of thermal building behaviour against weather changes",
abstract = "Several studies have indicated a significant potential in using Model Predictive Control (MPC) of space heating for demand response purposes. The performance of the MPC depends on the predictive performance of the embedded control model. The studies often employ black- or grey-box control models; however, no previous studies consider whether a black- or grey-box model is more robust against weather changes. To assess this, the simulation-based study reported in this paper analysed how the predictive performance of black- and grey-box models trained with different input–output datasets from a certain period of a year is affected when subject to weather conditions in other periods of the year. The predictive performance of the grey-box models was slightly better compared to the black-box model. Furthermore, the grey-box models were slightly more robust to changes in weather data. Future studies should investigate whether the differences have practical significance in relation to MPC.",
keywords = "Building energy modelling, Low-order models, Model comparisons",
author = "{Hauge Broholt}, Thea and {Dahl Knudsen}, Michael and Steffen Petersen",
year = "2022",
month = nov,
doi = "10.1016/j.enbuild.2022.112460",
language = "English",
volume = "275",
journal = "Energy and Buildings",
issn = "0378-7788",
publisher = "Elsevier BV",

}

RIS

TY - JOUR

T1 - The robustness of black and grey-box models of thermal building behaviour against weather changes

AU - Hauge Broholt, Thea

AU - Dahl Knudsen, Michael

AU - Petersen, Steffen

PY - 2022/11

Y1 - 2022/11

N2 - Several studies have indicated a significant potential in using Model Predictive Control (MPC) of space heating for demand response purposes. The performance of the MPC depends on the predictive performance of the embedded control model. The studies often employ black- or grey-box control models; however, no previous studies consider whether a black- or grey-box model is more robust against weather changes. To assess this, the simulation-based study reported in this paper analysed how the predictive performance of black- and grey-box models trained with different input–output datasets from a certain period of a year is affected when subject to weather conditions in other periods of the year. The predictive performance of the grey-box models was slightly better compared to the black-box model. Furthermore, the grey-box models were slightly more robust to changes in weather data. Future studies should investigate whether the differences have practical significance in relation to MPC.

AB - Several studies have indicated a significant potential in using Model Predictive Control (MPC) of space heating for demand response purposes. The performance of the MPC depends on the predictive performance of the embedded control model. The studies often employ black- or grey-box control models; however, no previous studies consider whether a black- or grey-box model is more robust against weather changes. To assess this, the simulation-based study reported in this paper analysed how the predictive performance of black- and grey-box models trained with different input–output datasets from a certain period of a year is affected when subject to weather conditions in other periods of the year. The predictive performance of the grey-box models was slightly better compared to the black-box model. Furthermore, the grey-box models were slightly more robust to changes in weather data. Future studies should investigate whether the differences have practical significance in relation to MPC.

KW - Building energy modelling

KW - Low-order models

KW - Model comparisons

UR - http://www.scopus.com/inward/record.url?scp=85138049998&partnerID=8YFLogxK

U2 - 10.1016/j.enbuild.2022.112460

DO - 10.1016/j.enbuild.2022.112460

M3 - Journal article

AN - SCOPUS:85138049998

VL - 275

JO - Energy and Buildings

JF - Energy and Buildings

SN - 0378-7788

M1 - 112460

ER -