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Multi-Objective Evolutionary Hybrid Deep Learning for energy theft detection
Jamshid Tursunboev
, Vikas Palakonda
,
Jae Mo Kang
School of Electronics Engineering
Kyungpook National University
Research output
:
Contribution to journal
›
Article
›
peer-review
10
Scopus citations
Overview
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Computer Science
Deep Learning
100%
Multiobjective
100%
Deep Learning Model
33%
Smart Grid
33%
Deep Learning Technique
33%
Electricity Consumption
33%
Experimental Result
16%
Learning Approach
16%
multi-objective evolutionary algorithm
16%
False Positive Rate
16%
Time Series Data
16%
Architectural Model
16%
Baseline Method
16%
Dimensional Data
16%
Engineering
Energy Engineering
100%
Deep Learning
100%
Smart Grid
28%
Learning Technique
28%
Model Parameter
28%
Electricity Consumption
28%
Experimental Result
14%
Data Series
14%
One Dimensional
14%
Learning Approach
14%
Dimensional Data
14%