| |
Record |
Links |
|
Author  |
Campo-Vázquez, C.; García-Rubio, C.; Moure-Garrido, M. |
|
| |
Title |
Entropy-Based Anomaly Detection in HouseholdElectricity Consumption |
Type |
Journal Article |
| |
Year |
2022 |
Publication |
Energies |
Abbreviated Journal |
|
|
| |
Volume |
15 |
Issue |
|
Pages |
|
|
| |
Keywords |
anomaly detection, behavior pattern, compromise, cynamon, entropy, household electricity consumption, load forecasting, magos |
|
| |
Abstract |
Energy efficiency is one of the most important current challenges, and its impact at a global level is considerable. To solve current challenges, it is critical that consumers are able to control their energy consumption. In this paper, we propose using a time series of window-based entropy to detect anomalies in the electricity consumption of a household when the pattern of consumption behavior exhibits a change. We compare the accuracy of this approach with two machine learning approaches, random forest and neural networks, and with a statistical approach, the ARIMA model. We study whether these approaches detect the same anomalous periods. These different techniques have been evaluated using a real dataset obtained from different households with different consumption profiles from the Madrid Region. The entropy-based algorithm detects more days classified as anomalous according to context information compared to the other algorithms. This approach has the advantages that it does not require a training period and that it adapts dynamically to changes, except in vacation periods when consumption drops drastically and requires some time for adapting to the new situation. |
|
| |
Address |
|
|
| |
Corporate Author |
|
Thesis |
|
|
| |
Publisher |
|
Place of Publication |
|
Editor |
|
|
| |
Language |
|
Summary Language |
|
Original Title |
|
|
| |
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
| |
Series Volume |
|
Series Issue |
|
Edition |
|
|
| |
ISSN |
1996-1073 |
ISBN |
|
Medium |
|
|
| |
Area |
|
Expedition |
|
Conference |
|
|
| |
Notes |
|
Approved |
no |
|
| |
Call Number |
UC3M @ josealga @ campo003 |
Serial |
24 |
|
| Permanent link to this record |
