Convolution Neural Network Scheme for Detection of Electricity Theft in Smart Grids

Matthew Palmer; G. Jaspher W. Kathrine; S. Jebapriya

doi:10.1007/978-3-031-08859-9_2

ScienceGate Book Chapters

BOOK-CHAPTER

Convolution Neural Network Scheme for Detection of Electricity Theft in Smart Grids

Matthew Palmer G. Jaspher W. Kathrine S. Jebapriya

Year: 2022 Advances in Science, Technology & Innovation/Advances in science, technology & innovation Pages: 13-22 Publisher: Springer International Publishing

DOI: 10.1007/978-3-031-08859-9_2

Get Full-Text PDF Get Analytical Report

Keywords:

Smart grid Grid Computer science Electricity Reliability (semiconductor) Scheme (mathematics) Real-time computing Artificial intelligence Computer security Embedded system Engineering Electrical engineering

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.31

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Electricity Theft Detection Techniques

Physical Sciences → Engineering → Electrical and Electronic Engineering

Smart Grid Security and Resilience

Physical Sciences → Engineering → Control and Systems Engineering

Electrical Fault Detection and Protection

Physical Sciences → Engineering → Electrical and Electronic Engineering

Convolution Neural Network Scheme for Detection of Electricity Theft in Smart Grids

Metrics

Topics

Related Documents

Electricity theft detection in smart grids based on deep neural network

Electricity Theft Detection in Smart Grids Based on Deep Neural Network

Electricity Theft Detection In Smart Grids System

Alexnet-Adaboost-ABC Based Hybrid Neural Network for Electricity Theft Detection in Smart Grids

An Ensemble Deep Convolutional Neural Network Model for Electricity Theft Detection in Smart Grids