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Anomaly detection in quasi-periodic energy consumption data series: a comparison of algorithms.
Niccolò Zangrando
Piero Fraternali
Marco Petri
Nicolò Oreste Pinciroli Vago
Sergio Luis Herrera Gonzalez
Published in:
Energy Inform. (2022)
Keyphrases
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anomaly detection
energy consumption
data analysis
data structure
data sets
anomalous behavior
detect anomalies
learning algorithm
normal behavior
energy efficient
data mining algorithms
data mining techniques
wireless sensor networks
data mining applications
sensor networks
data points
training data
quasi periodic