Improving Fault Classification Accuracy Using Wavelet Transform and Random Forest with STATCOM Integration

Umathe, Shradha and Daigavane, Prema and Daigavane, Manoj (2024) Improving Fault Classification Accuracy Using Wavelet Transform and Random Forest with STATCOM Integration. EAI Endorsed Transactions on Energy Web.

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Abstract

INTRODUCTION: Fault detection in transmission lines is critical for keeping the grid stable and reliable. This research offers a new methodology, the Wavelet Transform-Enhanced Random Forest Fault Classification System with STATCOM Integration (WERFCS-SI), to solve the shortcomings of existing fault

Item Type: Article
Date Deposited: 04 Mar 2026 18:10
Last Modified: 11 Apr 2026 00:36
URI: http://eprints.eai.eu/id/eprint/51421

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