Autoencoder-driven fault detection and diagnosis in building automation systems: Residual-based and latent space-based approaches-Reference-Cited by-同舟云学术

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Autoencoder-driven fault detection and diagnosis in building automation systems: Residual-based and latent space-based approaches

Published:2021-10 Issue: Volume:203 Page:108066
ISSN:0360-1323
Container-title:Building and Environment
language:en
Short-container-title:Building and Environment

Author:

Choi Youngwoong,Yoon Sungmin^ORCID

Funder

National Research Foundation of Korea

Incheon National University

Publisher

Elsevier BV

Subject

Building and Construction,Geography, Planning and Development,Civil and Structural Engineering,Environmental Engineering

Reference41 articles.

1. Development of building automation and control systems;Yang;IEEE Des. Test Comput.,2012

2. Characterization of a Building's operation using automation data: a review and case study;Gunay;Build. Environ.,2017

3. A quantitative comparison of statistical and deterministic methods on virtual in-situ calibration in building systems;Yoon;Build. Environ.,2017

4. A review of smart building sensing system for better indoor environment control;Dong;Energy Build.,2019

5. Impact of uncertainties on the supervisory control performance of a hybrid cooling system in data center;Wang;Build. Environ.,2019

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