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Farhad Rachidi

École Polytechnique Fédérale de Lausanne (EPFL)

SCHOLARLY PAPERS

5

DOWNLOADS

166

TOTAL CITATIONS

0

Scholarly Papers (5)

1.

Assessment of the Lightning Performance of Overhead Distribution Lines Based on  Lightning Location Systems Data

Number of pages: 22 Posted: 17 Feb 2022
affiliation not provided to SSRN, affiliation not provided to SSRN, University of Genoa, affiliation not provided to SSRN, University of Genoa, affiliation not provided to SSRN, affiliation not provided to SSRN, École Polytechnique Fédérale de Lausanne (EPFL) and affiliation not provided to SSRN
Downloads 63 (933,592)

Abstract:

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Lightning Locations Systems, Lightning performance, Monte Carlo method, overvoltage protection, lightning parameters

2.

Current Propagation Type Self-Consistent Leader-Return Stroke Model

Number of pages: 28 Posted: 19 Sep 2022
Vernon Cooray, Marcos Rubinstein and Farhad Rachidi
Uppsala University, University of Applied Sciences and Arts Western Switzerland and École Polytechnique Fédérale de Lausanne (EPFL)
Downloads 52 (1,041,696)

Abstract:

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Lightning, Return stroke, modelling, Lightning leader, Return stroke modeles

3.

Known properties of the lightning leader channels point towards a return stroke moving with the speed of light

Number of pages: 26 Posted: 03 Sep 2025
École Polytechnique Fédérale de Lausanne (EPFL), University of Applied Sciences and Arts Western Switzerland, Uppsala University and affiliation not provided to SSRN
Downloads 20 (1,448,301)

Abstract:

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Lightning, return strokes, Electromagnetic fields, return stroke speed, speed of light

4.

Similarities in the Initiation of Upward Positive and Downward Negative Lightning Flashes

Number of pages: 12 Posted: 10 Mar 2026
affiliation not provided to SSRN, affiliation not provided to SSRN, University of Split, University of Applied Sciences and Arts Western Switzerland and École Polytechnique Fédérale de Lausanne (EPFL)
Downloads 19 (1,459,862)

Abstract:

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preliminary breakdown pulses, lightning initiation, electric field measurements, Säntis tower, upward lightning

5.

Deep Learning-Based Lightning Localization Using Convolutional Autoencoder and Multilayer Perceptron

Number of pages: 14 Posted: 09 Jun 2026
Hamedan University of Technology, affiliation not provided to SSRN, Hamedan University of Technology, University of Applied Sciences and Arts Western Switzerland and École Polytechnique Fédérale de Lausanne (EPFL)
Downloads 12

Abstract:

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Lightning localization, Lightning-induced voltages, Power system reliability, transmission lines, Deep learning