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Fault detection and diagnosis web service module for energy monitoring in buildings
Abstract 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.
- University of Girona Spain
- University of Girona Spain
Principal Component Analysis, Monitoring, Energy consumption management, Fault detection diagnosis
Principal Component Analysis, Monitoring, Energy consumption management, Fault detection diagnosis
