Electricity theft recognition and time period detection considering based on multi-task learning-Reference-Cited by-同舟云学术

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Electricity theft recognition and time period detection considering based on multi-task learning

Published:2024-01 Issue: Volume:155 Page:109570
ISSN:0142-0615
Container-title:International Journal of Electrical Power & Energy Systems
language:en
Short-container-title:International Journal of Electrical Power & Energy Systems

Author:

Zheng Sifan,Gao Yunpeng,Gu Dexi,Shi Junhao,Chen Kang,Li Yunfeng

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference37 articles.

1. Detection of non-technical losses using smart meter data and supervised learning;Buzau;IEEE Trans Smart Grid,2019

2. Electricity theft detection based on stacked sparse denoising autoencoder;Huang;Int J Electr Power Energy Syst,2021

3. Electricity theft detection in AMI with low false positive rate based on deep learning and evolutionary algorithm;Gu;IEEE Trans Power Syst,2022

4. Detection of energy theft and defective smart meters in smart grids using linear regression;Yip;Int J Electr Power Energy Syst,2017

5. Hybrid deep neural networks for detection of non-technical losses in electricity smart meters;Buzau;IEEE Trans Power Syst,2020

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