Multi-label co-occurrence network for stealing electricity type detection and research on forensics sequence rules-Reference-Cited by-同舟云学术

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Multi-label co-occurrence network for stealing electricity type detection and research on forensics sequence rules

Published:2022-12-23 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2022 5th International Conference on Algorithms, Computing and Artificial Intelligence
language:
Short-container-title:

Author:

Song Runan¹^ORCID,Xue Yang¹^ORCID,Zhang Penghe¹^ORCID,Yang Yining¹^ORCID,Wang Cong¹^ORCID

Affiliation:

1. China Electric Power Research Institute, China

Funder

Research on the field evidence collection and operation technology of anti-stealing electricity based on Beidou

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3579654.3579763

Reference15 articles.

1. QIN Huaqin , LIANG Ye , QIAN Qi , ( 2022 ) Detection Method of Electricity Theft Behavior Based on Retrieval of Similarity of Typical Users with Electricity Theft[J].Automation of Electric Power Systems,46(06):58-65 . QIN Huaqin, LIANG Ye, QIAN Qi, (2022)Detection Method of Electricity Theft Behavior Based on Retrieval of Similarity of Typical Users with Electricity Theft[J].Automation of Electric Power Systems,46(06):58-65.

2. DeepAR: Probabilistic forecasting with autoregressive recurrent networks

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