Poster Abstract: Occupant-driven Diagnostic Bayesian Networks: Incorporating Subjective Feedback for Resilient Operation

Martín Mosteiro-Romero; Nitant Upasani; Laure Itard

doi:10.1145/3736425.3772108

Poster Abstract: Occupant-driven Diagnostic Bayesian Networks: Incorporating Subjective Feedback for Resilient Operation

Martín Mosteiro-Romero, Nitant Upasani, Laure Itard

Environmental & Climate Design

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

Abstract

This paper presents a Diagnostic Bayesian Network (DBN) for whole-building fault detection and diagnosis (FDD) incorporating occupant feedback as potential symptoms of faulty operation and occupant behaviors as potential faults in building performance. The methodology is applied on a seven-floor office building in Delft, the Netherlands, and the DBN's fault isolation capabilities for three different levels of information are compared.

Original language	English
Title of host publication	BuildSys 2025 - Proceedings of the 2025 the 12th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation
Place of Publication	New York, NY
Publisher	Association for Computing Machinery (ACM)
Pages	304-305
Number of pages	2
ISBN (Electronic)	9798400719455
DOIs	https://doi.org/10.1145/3736425.3772108
Publication status	Published - 2025
Event	12th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, BuildSys 2025 - Golden, United States Duration: 19 Nov 2025 → 21 Nov 2025

Conference

Conference	12th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, BuildSys 2025
Country/Territory	United States
City	Golden
Period	19/11/25 → 21/11/25

Keywords

fault detection and diagnosis (FDD)
indoor air quality
occupant behavior
thermal comfort
whole building HVAC systems

Access to Document

10.1145/3736425.3772108

3736425.3772108Final published version, 3.07 MBLicence: CC BY-NC-SA

Cite this

Mosteiro-Romero, M., Upasani, N., & Itard, L. (2025). Poster Abstract: Occupant-driven Diagnostic Bayesian Networks: Incorporating Subjective Feedback for Resilient Operation. In BuildSys 2025 - Proceedings of the 2025 the 12th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (pp. 304-305). Association for Computing Machinery (ACM). https://doi.org/10.1145/3736425.3772108

Mosteiro-Romero, Martín ; Upasani, Nitant ; Itard, Laure. / Poster Abstract: Occupant-driven Diagnostic Bayesian Networks: Incorporating Subjective Feedback for Resilient Operation. BuildSys 2025 - Proceedings of the 2025 the 12th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation. New York, NY : Association for Computing Machinery (ACM), 2025. pp. 304-305

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abstract = "This paper presents a Diagnostic Bayesian Network (DBN) for whole-building fault detection and diagnosis (FDD) incorporating occupant feedback as potential symptoms of faulty operation and occupant behaviors as potential faults in building performance. The methodology is applied on a seven-floor office building in Delft, the Netherlands, and the DBN's fault isolation capabilities for three different levels of information are compared.",

keywords = "fault detection and diagnosis (FDD), indoor air quality, occupant behavior, thermal comfort, whole building HVAC systems",

author = "Mart{\'i}n Mosteiro-Romero and Nitant Upasani and Laure Itard",

year = "2025",

doi = "10.1145/3736425.3772108",

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booktitle = "BuildSys 2025 - Proceedings of the 2025 the 12th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation",

publisher = "Association for Computing Machinery (ACM)",

address = "United States",

note = "12th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, BuildSys 2025 ; Conference date: 19-11-2025 Through 21-11-2025",

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Mosteiro-Romero, M, Upasani, N & Itard, L 2025, Poster Abstract: Occupant-driven Diagnostic Bayesian Networks: Incorporating Subjective Feedback for Resilient Operation. in BuildSys 2025 - Proceedings of the 2025 the 12th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation. Association for Computing Machinery (ACM), New York, NY, pp. 304-305, 12th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, BuildSys 2025, Golden, Colorado, United States, 19/11/25. https://doi.org/10.1145/3736425.3772108

Poster Abstract: Occupant-driven Diagnostic Bayesian Networks: Incorporating Subjective Feedback for Resilient Operation. / Mosteiro-Romero, Martín; Upasani, Nitant; Itard, Laure.
BuildSys 2025 - Proceedings of the 2025 the 12th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation. New York, NY: Association for Computing Machinery (ACM), 2025. p. 304-305.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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Mosteiro-Romero M, Upasani N, Itard L. Poster Abstract: Occupant-driven Diagnostic Bayesian Networks: Incorporating Subjective Feedback for Resilient Operation. In BuildSys 2025 - Proceedings of the 2025 the 12th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation. New York, NY: Association for Computing Machinery (ACM). 2025. p. 304-305 doi: 10.1145/3736425.3772108

Poster Abstract: Occupant-driven Diagnostic Bayesian Networks: Incorporating Subjective Feedback for Resilient Operation

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