Prediction of Equipment Failure Rates in Power Distribution Networks based on Machine-learning Method

Prediction of Equipment Failure Rates in Power Distribution Networks based on Machine-learning Method

This paper explores the application of a machine learning approach to predict equipment failure rates in power distribution networks, motivated by the significant impact of power outages on citizens' daily lives and the economy. In this research, data on equipment failure rates and maintenance...

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Bibliographic Details
Main Authors: Rita Jamasheva, Noor Hanoon Haroon, Ahmed Read Al-Tameemi, Israa Alhani, Ali Murad Khudadad, Bahira Abdulrazzaq Mohammed, Ali H. O. Al Mansor, Mustafa Asaad Hussein
Format: Article
Language:English
Published: OICC Press 2023-09-01
Series:Majlesi Journal of Electrical Engineering
Subjects:
Adaptive Neuro-Fuzzy Inference System model
Failure Rates
Machine Learning
Periodic Autoregressive Moving Average
Online Access:https://oiccpress.com/mjee/article/view/5018
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