An Integrated Framework of Feature Engineering and Machine Learning for Large-Scale Energy Anomaly Detection

Energy Engineering 2026 Open access

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Authors: Thanyapisit Buaprakhong, Varintorn Sithisint, Awirut Phusaensaart, Sinthon Wilke, Thatsamaphon Boonchuntuk, Thittaporn Ganokratanaa, Mahasak Ketcham
DOI: 10.32604/ee.2026.069004
Cited by: 1

Abstract

The rapid digitalization of the energy sector has led to the deployment of large-scale smart metering systems that generate high-frequency time series data, creating new opportunities and challenges for energy anomaly detecti... | Find, read and cite all the research you need on Tech Science Press

Fields of Study & Subjects

Electricity Theft Detection Techniques Anomaly Detection Techniques and Applications Time Series Analysis and Forecasting

Publication details

Journal / source
Energy Engineering
Publisher
Tech Science Press
Volume
123
Issue
3
Pages
1–10
Publication date
1 January 2026
Language
EN