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Ebha Koley

Researcher at National Institute of Technology, Raipur

Publications -  62
Citations -  782

Ebha Koley is an academic researcher from National Institute of Technology, Raipur. The author has contributed to research in topics: Fault detection and isolation & Fault (power engineering). The author has an hindex of 13, co-authored 53 publications receiving 445 citations.

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Protection scheme for power transmission lines based on SVM and ANN considering the presence of non-linear loads

TL;DR: The experimental results confirm the superiority of using voltage harmonics for improving the dependability of transmission line protection and the efficacy of the proposed scheme is validated using Monte Carlo simulation.
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An improved fault detection classification and location scheme based on wavelet transform and artificial neural network for six phase transmission line using single end data only

TL;DR: A hybrid wavelet transform and modular artificial neural network based fault detector, classifier and locator for six phase lines using single end data only is presented which makes it ideal for real time implementation.
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Low cost microcontroller based fault detector, classifier, zone identifier and locator for transmission lines using wavelet transform and artificial neural network: A hardware co-simulation approach

TL;DR: In this article, a low cost, fast and reliable microcontroller based protection scheme using wavelet transform and artificial neural network has been proposed and its effectiveness evaluated in real-time.
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Spatio-temporal information based protection scheme for PV integrated microgrid under solar irradiance intermittency using deep convolutional neural network

TL;DR: A protection scheme based on Convolutional neural network (ConvNet) approach of deep learning for fault detection/classification, section identification and location during islanded mode and the performance of the proposed technique under varying irradiance and fault scenarios has been analyzed through statistical indices and Monte-Carlo simulations.
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Reliable protection scheme for PV integrated microgrid using an ensemble classifier approach with real-time validation

TL;DR: Simulation results justify the applicability of the proposed ensemble classifier-based scheme for complete protection and reliable operation of microgrids with PV penetration and has been validated for real-time settings using hardware in loop simulations.