Electricity Theft Detection Via Deep Learning
Author:
Affiliation:
1. National University of Sciences and Technology (NUST),Military College of Signals,Islamabad,Pakistan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10164827/10164854/10164983.pdf?arnumber=10164983
Reference52 articles.
1. Wide and Deep Convolutional Neural Networks for Electricity-Theft Detection to Secure Smart Grids
2. Predicting effects of noncoding variants with deep learning–based sequence model
3. NTL Detection in Electric Distribution Systems Using the Maximal Overlap Discrete Wavelet-Packet Transform and Random Undersampling Boosting
4. A Novel Feature-Engineered–NGBoost Machine-Learning Framework for Fraud Detection in Electric Power Consumption Data
5. Robust Visual Tracking based on Deep Spatial Transformer Features
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