📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

A Stacked Machine and Deep Learning-Based Approach for Analysing Electricity Theft in Smart Grids (2022)

First Author: Khan I

Attributed to: National Centre for Nuclear Robotics (NCNR) funded by ISCF

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1109/tsg.2021.3134018

Publication URI: http://dx.doi.org/10.1109/tsg.2021.3134018

Type: Journal Article/Review

Parent Publication: IEEE Transactions on Smart Grid

Issue: 2