Electricity Anomaly Point Detection using Unsupervised Technique Based on Electricity Load Prediction Derived from Long Short-Term Memory

Anomaly detection; Brain; Errors; Forecasting; Gradient methods; Mean square error; Optimization; Statistics; Stochastic models; Stochastic systems; Anomaly detection; Electricity load; Electricity theft; Load predictions; Mean absolute error; Mean squared error; Optimizers; Point detection; Power p...

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Bibliographic Details
Main Authors: Salleh N.S.M., Saripuddin M., Suliman A., Jorgensen B.N.
Other Authors: 54946009300
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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Description
Summary:Anomaly detection; Brain; Errors; Forecasting; Gradient methods; Mean square error; Optimization; Statistics; Stochastic models; Stochastic systems; Anomaly detection; Electricity load; Electricity theft; Load predictions; Mean absolute error; Mean squared error; Optimizers; Point detection; Power providers; Unsupervised techniques; Long short-term memory