Fault Identification on Electrical Transmission Lines Using Artificial Neural Networks-Reference-Cited by-同舟云学术

Fault Identification on Electrical Transmission Lines Using Artificial Neural Networks

Published:2021-08-27 Issue:13-14 Volume:49 Page:1118-1129
ISSN:1532-5008
Container-title:Electric Power Components and Systems
language:en
Short-container-title:Electric Power Components and Systems

Author:

Asbery Chris¹,Liao Yuan¹

Affiliation:

1. Department of Electrical and Computer Engineering, University of Kentucky, Lexington, KY, USA

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Energy Engineering and Power Technology

Link

https://www.tandfonline.com/doi/pdf/10.1080/15325008.2022.2049659

Reference18 articles.

1. United States Department of Energy, “Annual U.S. Transmission Data Review," United States Department of Energy, Washington, DC, 2018,

2. Federal Energy Regulatory Commission (FERC), “Managing Transmission Line Ratings," Federal Energy Regulatory Commission (FERC), Washington, DC, 2019,

3. J. Grainger and W. Stevenson, Power System Analysis, New York, NY: McGraw-Hill Inc. 1994, pp. 380–530.

4. Transmission Line Fault Classification and Location Using Wavelet Entropy and Neural Network

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