A New Short Term Electrical Load Forecasting by Type-2 Fuzzy Neural Networks

A New Short Term Electrical Load Forecasting by Type-2 Fuzzy Neural Networks

In this study, we present a new approach for load forecasting (LF) using a recurrent fuzzy neural network (RFNN) for Kermanshah City. Imagine if there is a need for electricity in a region in the coming years, we will have to build a power plant or reinforce transmission lines, so this will be resol...

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Bibliographic Details
Main Authors: Man-Wen Tian, Khalid Alattas, Fayez El-Sousy, Abdullah Alanazi, Ardashir Mohammadzadeh, Jafar Tavoosi, Saleh Mobayen, Paweł Skruch
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Energies
Subjects:
electrical load forecasting
recurrent fuzzy neural network
time series
machine learning
Online Access:https://www.mdpi.com/1996-1073/15/9/3034

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https://www.mdpi.com/1996-1073/15/9/3034

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