Estimation of seasonal variation of ground resistance using Artificial Neural Networks-Reference-Cited by-同舟云学术

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Estimation of seasonal variation of ground resistance using Artificial Neural Networks

Published:2013-01 Issue: Volume:94 Page:113-121
ISSN:0378-7796
Container-title:Electric Power Systems Research
language:en
Short-container-title:Electric Power Systems Research

Author:

Asimakopoulou Fani E.,Tsekouras George J.,Gonos Ioannis F.,Stathopulos Ioannis A.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference22 articles.

1. ANSI/IEEE Std 80, Guide for safety in AC substation grounding, 2000.

2. IEEE Std81, Guide for measuring earth resistivity, ground impedance and earth surface potentials of a ground system, 1983.

3. Natural materials as grounding filler for lightning protection system;Jasni,2010

4. Practical evaluation of ground enhancing compounds for high soil resistivities;Galván,2010

5. Variation of soil resistivity and ground resistance during the year;Gonos,2006

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