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: Alanazi, A. (Author), Alattas, K. (Author), El-Sousy, F. (Author), Mobayen, S. (Author), Mohammadzadeh, A. (Author), Skruch, P. (Author), Tavoosi, J. (Author), Tian, M.-W (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Electric load forecasting
Electric power plant loads
Electrical load
electrical load forecasting
Electrical load forecasting
Fuzzy inference
Fuzzy neural networks
Fuzzy-neural-networks
Load forecasting
machine learning
New approaches
recurrent fuzzy neural network
Recurrent fuzzy neural network
Recurrent neural networks
Short-term electrical loads
time series
Times series
Transmission-line
Type-2 fuzzy
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