Deep Learning Model for Feature Extraction and Anomaly Recognition in High-Dimensional Energy Metering Data

Que, Huakun; Jiang, Zetao; Zhou, Zhifeng; He, Yongsheng; Liu, Xin

Deep Learning Model for Feature Extraction and Anomaly Recognition in High-Dimensional Energy Metering Data

Que, Huakun and Jiang, Zetao and Zhou, Zhifeng and He, Yongsheng and Liu, Xin (2025) Deep Learning Model for Feature Extraction and Anomaly Recognition in High-Dimensional Energy Metering Data. EAI Endorsed Transactions on Energy Web.

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Abstract

Introduction:The rapid expansion of energy networks has significantly increased energy consumption, resulting in higher electricity costs. Abnormal energy usage in buildings and industries, often caused by system malfunctions, leads to substantial energy waste. Detecting such anomalies is essential

Item Type:	Article
Date Deposited:	04 Mar 2026 20:15
Last Modified:	16 Apr 2026 16:05
URI:	http://eprints.eai.eu/id/eprint/59912

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