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Fault detection and diagnosis web service module for energy monitoring in buildings
This work presents the development of a web service module for monitoring energy consumption data recorded in buildings. This software is based on the application of Multivariate Principal Component Analysis (MPCA) to implement a fault detection and diagnosis tool that detects anomalies or misbehaviors in energy consumptions. The result can be integrated into an architecture to facilitate the access and management of data coming from different energy subsystems (and other sources of data as meteorological information) involved in the operation of a building. This research uses data collected during the HIT2GAP project accessible in the below link: https://doi.org/10.5281/zenodo.3445332 ; This work has been carried out by research group eXiT (http://exit.udg.edu) funded through the project HIT2GAP (European Union's Horizon 2020 research and innovation programme under grant agreement No 680708) and CROWDSAVING (Ref. TIN2016-79726-C2-2-R, funded by the Spanish Ministerio de Industria y Competitividad within the Research, Development and Innovation Program oriented towards the Societal Challenges). We would also like to thank Bouygues Energy Systems for his support on the application of the module.
Fault detection and diagnosis web service module for energy monitoring in buildings
This work presents the development of a web service module for monitoring energy consumption data recorded in buildings. This software is based on the application of Multivariate Principal Component Analysis (MPCA) to implement a fault detection and diagnosis tool that detects anomalies or misbehaviors in energy consumptions. The result can be integrated into an architecture to facilitate the access and management of data coming from different energy subsystems (and other sources of data as meteorological information) involved in the operation of a building. This research uses data collected during the HIT2GAP project accessible in the below link: https://doi.org/10.5281/zenodo.3445332 ; This work has been carried out by research group eXiT (http://exit.udg.edu) funded through the project HIT2GAP (European Union's Horizon 2020 research and innovation programme under grant agreement No 680708) and CROWDSAVING (Ref. TIN2016-79726-C2-2-R, funded by the Spanish Ministerio de Industria y Competitividad within the Research, Development and Innovation Program oriented towards the Societal Challenges). We would also like to thank Bouygues Energy Systems for his support on the application of the module.
Fault detection and diagnosis web service module for energy monitoring in buildings
Melendez, Joaquim (author) / Burgas, Llorenc (author) / Gamero, Francisco I (author) / Colomer, Joaquim (author) / Herraiz, Sergio (author)
2018-07-01
oai:zenodo.org:1406937
IFAC-PapersOnLine 51(10) 15-19
Article (Journal)
Electronic Resource
English
DDC:
690
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