Article Per Year (5 Year)
p-Index From 2020 - 2025
0
P-Index
This Author published in this journals
All Journal Statistika
Khairil Anuar Arshad
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Industrial & Manufacturing Engineering Mathematics

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
An Artificial Neural Networks Forecasting for Malaysia’s Load Norizan Mohamed; Maizah Hura Ahmad; Zuhaimy Ismail; Khairil Anuar Arshad
STATISTIKA: Forum Teori dan Aplikasi Statistika Vol 8, No 2 (2008)
Publisher : Program Studi Statistika Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jstat.v8i2.985

Abstract

In this paper, two artificial neural networks models, namely the multilayer feedforward neuralnetwork and the recurrent neural network are applied for Malaysia's load forecasting. A half hourlyload data is divided equally into three distinct sets for training, validation and testing.Backpropagation is selected as the learning algorithm whereas the transfer function for both hiddenlayer and output layer is sigmoid the function. The forecasting performances were compared betweenthese two models. The results show that, the sum squared error (SSE) of multilayer feedforwardneural network were the lowest hence the multilayer feedforward neural network is a better model fora half hourly Malaysia's load.
Co-Authors Maizah Hura Ahmad Norizan Mohamed Zuhaimy Ismail