Power Consumption Predictive Analytics and Automatic Anomaly Detection Based on CNN-LSTM Neural Networks

Power Consumption Predictive Analytics and Automatic Anomaly Detection Based on CNN-LSTM Neural Networks

In this modern era, electrical energy plays a crucial role in human life, as it is essential for most household appliances. The number of appliances requiring electrical energy increases each year, meeting the growing needs of users. However, electricity consumers tend to forget this fact and only r...

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Bibliographic Details
Main Authors:	Arif Irwansyah, Effry Muhammad, Firman Arifin, Budi Nur Iman, Hendhi Hermawan
Format:	Article
Language:	English
Published:	Universitas Syiah Kuala 2023-12-01
Series:	Jurnal Rekayasa Elektrika
Subjects:	anomaly detection cnn lstm power consumption prediction predictive analytics
Online Access:	https://jurnal.usk.ac.id/JRE/article/view/31695

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