A Novel Unsupervised Data-Driven Method for Electricity Theft Detection in AMI Using Observer Meters
Saved in:
| Title: | A Novel Unsupervised Data-Driven Method for Electricity Theft Detection in AMI Using Observer Meters |
|---|---|
| Authors: | Ruobin Qi, Jun Zheng, Zhirui Luo, Qingqing Li |
| Source: | IEEE Transactions on Instrumentation and Measurement. 71:1-10 |
| Publisher Information: | Institute of Electrical and Electronics Engineers (IEEE), 2022. |
| Publication Year: | 2022 |
| Subject Terms: | 0203 mechanical engineering, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology |
| Document Type: | Article |
| ISSN: | 1557-9662 0018-9456 |
| DOI: | 10.1109/tim.2022.3189748 |
| Rights: | IEEE Copyright |
| Accession Number: | edsair.doi...........f3093d57f524ffda26beee9d57b74e9d |
| Database: | OpenAIRE |
| ISSN: | 15579662 00189456 |
|---|---|
| DOI: | 10.1109/tim.2022.3189748 |
Full Text Finder
Nájsť tento článok vo Web of Science