Electricity theft detection in the presence of prosumers using a cluster-based multi-feature detection model

Alromih, A. orcid.org/0000-0002-5382-421X, Clark, J.A. and Gope, P. (2021) Electricity theft detection in the presence of prosumers using a cluster-based multi-feature detection model. In: 2021 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm). 2021 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), 25-28 Oct 2021, Aachen, Germany. Institute of Electrical and Electronics Engineers . ISBN 9781665430449

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Copyright, Publisher and Additional Information: © 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reproduced in accordance with the publisher's self-archiving policy.
Keywords: Advanced metering infrastructure (AMI); energy theft; smart grid; electricity theft; prosumer
Dates:
  • Published (online): 13 December 2021
  • Published: 13 December 2021
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 02 Feb 2022 11:37
Last Modified: 02 Feb 2022 12:11
Status: Published
Publisher: Institute of Electrical and Electronics Engineers
Refereed: Yes
Identification Number: https://doi.org/10.1109/smartgridcomm51999.2021.9632322
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