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One-Step Ahead Modelling of building thermal dynamics: A Comparison of Backward Selection and LASSO approaches

Oraiopoulos, Argyris; Howard, Bianca; (2020) One-Step Ahead Modelling of building thermal dynamics: A Comparison of Backward Selection and LASSO approaches. In: Proceedings of the 5th IBPSA-England Conference on Building Simulation and Optimization 2020. (pp. pp. 277-285). International Building Performance Simulation Association:IBPSA: Loughborough, UK. Green open access

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Abstract

The computation time and the infinite possibilities in model structures of data driven models often hinder the efficient development of accurate models. This paper presents a systematic approach for selecting the appropriate model when forecasting the temperature dynamics in non-residential buildings, using different streams of data. The main objective of the work is to evaluate the presented approach by comparing the results to those obtained by a typical backward elimination method. The workflow delivers the selection of the appropriate features in order to represent the system accurately in a parsimonious model, by setting the initial model structure search space and then estimating the parameters, using the least absolute shrinkage and selection operator (LASSO) procedure. The analysis is performed on a case study educational building complex at Loughborough University in the Midlands, UK. The input data comprise of multiple features including internal room air temperatures, external air temperatures, and HVAC related data such as valve positions and fan speeds, measured sub-hourly over a winter period between 2018 and 2019. The results confirm that the specified automated workflow enables accurate estimates of indoor air temperature using considerably less computational effort than the backward selection approach. However, the final form of the models identified could lead to poor control performance.

Type: Proceedings paper
Title: One-Step Ahead Modelling of building thermal dynamics: A Comparison of Backward Selection and LASSO approaches
Event: Building Simulation and Optimisation
Open access status: An open access version is available from UCL Discovery
Publisher version: http://www.ibpsa.org/proceedings/BSO2020/BSOV2020_...
Language: English
Additional information: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment > Bartlett School Env, Energy and Resources
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10162699
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