Forecasting the Low-Voltage Line Damage Caused by Typhoons in China Based on the Factor Analysis Method and an Improved Gravitational Search Algorithm-Extreme Learning Machine

Forecasting the Low-Voltage Line Damage Caused by Typhoons in China Based on the Factor Analysis Method and an Improved Gravitational Search Algorithm-Extreme Learning Machine

The frequency of typhoons in China has gradually increased, resulting in serious damage to low-voltage power grid lines. Therefore, it is of great significance to study the influencing factors and predict the amount of damage, which contributes to enhancing wind resistance and improving the efficien...

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Bibliographic Details
Main Authors: Weijun Wang, Weisong Peng, Xin Tan, Haoyue Wang, Chenjun Sun
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Energies
Subjects:
typhoon destruction
grey relational analysis (GRA)
factor analysis
extreme learning machine optimized by an improved gravitational search algorithm (IGSA-ELM)
Online Access:http://www.mdpi.com/1996-1073/11/9/2321

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http://www.mdpi.com/1996-1073/11/9/2321

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