Hybrid signal processing and machine learning algorithm for adaptive fault classification of wind farm integrated transmision line protection

Hybrid signal processing and machine learning algorithm for adaptive fault classification of wind farm integrated transmision line protection

The technological advancement in integration of Renewable Green Energy Sources (RGES) like Wind Farm Generators (WFG), and Photovoltaic (PV) system into conventional power system as a future solution to meet the increase in global energy demands in order to reduce the cost of power generation, and i...

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Bibliographic Details
Main Authors: Olufemi, Osaji Emmanuel, Othman, Mohammad Lutfi, Hizam, Hashim, Othman, Muhammad Murtadha, Ammar, Aker Elhadi Emhemed Alhaaj, Okeke, Chidiebere Akachukwu, Onuabuchi, Nwagbara Samuel
Format: Article
Language:English
Published: UTHM Publisher 2019
Online Access:http://psasir.upm.edu.my/id/eprint/80112/1/Hybrid%20signal%20processing%20and%20machine%20learning%20algorithm%20for%20adaptive%20fault%20classification%20of%20wind%20farm%20integrated%20transmision%20line%20protection.pdf

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http://psasir.upm.edu.my/id/eprint/80112/1/Hybrid%20signal%20processing%20and%20machine%20learning%20algorithm%20for%20adaptive%20fault%20classification%20of%20wind%20farm%20integrated%20transmision%20line%20protection.pdf

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