Research on Anomaly Detection Model for Power Consumption Data Based on Time-Series Reconstruction

Research on Anomaly Detection Model for Power Consumption Data Based on Time-Series Reconstruction

The power consumption data in buildings can be viewed as a time series, where outliers indicate unreasonable energy usage patterns. Accurately detecting these outliers and improving energy management methods based on the findings can lead to energy savings. To detect outliers, an anomaly detection m...

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Bibliographic Details
Main Authors: Zhenghui Mao, Bijun Zhou, Jiaxuan Huang, Dandan Liu, Qiangqiang Yang
Format: Article
Language:English
Published: MDPI AG 2024-09-01
Series:Energies
Subjects:
time series
deep learning
outliers
anomaly detection
energy-saving potential
Online Access:https://www.mdpi.com/1996-1073/17/19/4810
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