Artificial intelligence for sources identification of excessive neutral-to-ground voltage

Abidin, Ahmad Farid (2025) Artificial intelligence for sources identification of excessive neutral-to-ground voltage. Penerbit UiTM (UiTM Press), Shah Alam. ISBN 978-629-496-146-3

Abstract

This book addresses power quality (PQ) issues by focusing on identification sources of excessive neutral-to-ground voltage (ENTGV). It presents a systematic approach that combines data acquisition, signal processing, and artificial intelligence (AI) to detect and localize ENTGV sources. Real-time monitoring and modeling of electrical distribution systems are incorporated to support this methodology. The approach offers a practical solution for tackling PQ issues worldwide.

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Item Type: Book
Creators:
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Abidin, Ahmad Farid
UNSPECIFIED
Subjects: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics. Nuclear engineering
Divisions: Universiti Teknologi MARA, Shah Alam > Penerbit UiTM (UiTM Press)
Keywords: Power quality, Source identification, Artificial intelligence.
Date: 2025
URI: https://ir.uitm.edu.my/id/eprint/129503
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