Anomaly Prediction in Electricity Consumption Using a Combination of Machine Learning Techniques

Anomaly Prediction in Electricity Consumption Using a Combination of Machine Learning Techniques

Electricity demand is increasing proportionally to the increase in power usage. Without a doubt, energy efficiency has gained significant importance and attention, with one of the primary concerns being the detection and forecasting of abnormal consumption.  In this paper, the authors...

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Bibliographic Details
Main Authors: Rawan ELhadad, Yi-Fei Tan, Wooi-Nee Tan
Format: Article
Language:English
Published: Universitas Indonesia 2022-11-01
Series:International Journal of Technology
Subjects:
decision tree
isolation forest
power consumption anomaly
prediction
random forest
Online Access:https://ijtech.eng.ui.ac.id/article/view/5931

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