Machine Learning-Based Lightning Localization Algorithm Using Lightning-Induced Voltages on Transmission Lines

In this article, we present a machine learning-based method to locate lightning flashes using calculations of lightning-induced voltages on a transmission line. The proposed approach takes advantage of the preinstalled voltage measurement systems on power transmission lines to get the data. Hence, i...

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Veröffentlicht in:	IEEE transactions on electromagnetic compatibility Jg. 62; H. 6; S. 2512 - 2519
Hauptverfasser:	Karami, Hamidreza, Mostajabi, Amirhossein, Azadifar, Mohammad, Rubinstein, Marcos, Zhuang, Chijie, Rachidi, Farhad
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.12.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Institute of Electrical and Electronics Engineers
Schlagworte:	Algorithms Electrical measurement Extremely low frequencies Geology Gradient boosting algorithms Lightning Lightning flashes lightning localization Lightning strikes Machine learning machine learning (ML) Machine learning algorithms Model accuracy Optics Physics Power lines Power transmission lines Sensors Signal to noise ratio transients on transmission lines Transmission line measurements Transmission lines Two dimensional models Very high frequencies Very Low Frequencies Voltage measurement Lightning Localization Transients on Transmission Lines Machine Learning Gradient Boosting Algorithms
ISSN:	0018-9375, 1558-187X
Online-Zugang:	Volltext
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