IDM based on image classification with CNN

IDM based on image classification with CNN

Distributed generation (DG) has seen tremendous growth to meet the needs of ever-increasing energy demand. Most of these distributed sources are renewable in nature and connected at the consumer end. The increasing penetration of DG sources has made their control and operation complex. One of the is...

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Bibliographic Details
Main Authors: Santhosh K.G. Manikonda, Dattatraya N. Gaonkar
Format: Article
Language:English
Published: Wiley 2019-05-01
Series:The Journal of Engineering
Subjects:
support vector machines
image classification
learning (artificial intelligence)
power distribution faults
time series
distributed power generation
convolutional neural nets
time-series data
idm
support vector machine
deep learning technique
detection accuracy
distributed generation
energy demand
distributed sources
dg sources
operation complex
islanding detection method
deep learning approach
convolution neural network
cnn
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0025

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https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0025

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