Anomaly detection in quasi-periodic energy consumption data series: a comparison of algorithms

Abstract The diffusion of domotics solutions and of smart appliances and meters enables the monitoring of energy consumption at a very fine level and the development of forecasting and diagnostic applications. Anomaly detection (AD) in energy consumption data streams helps identify data points or in...

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Bibliographic Details
Main Authors: Niccolò Zangrando, Piero Fraternali, Marco Petri, Nicolò Oreste Pinciroli Vago, Sergio Luis Herrera González
Format: Article
Language:English
Published: SpringerOpen 2022-12-01
Series:Energy Informatics
Subjects:
Online Access:https://doi.org/10.1186/s42162-022-00230-7