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Electricity load forecast using neural network trained from wavelet-transformed data

With accurate electricity load forecasting important information is provided that helps to build up cost effective risk management plans for any electric utility such as electricity generators and retailers in the electricity market. In this article, we propose a wavelet based multilayer perceptron...

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Main Authors:	Benaouda D., Murtagh F.
Other Authors:	15844746300
Format:	Conference paper
Published:	2023
Subjects:	Multi-layer perceptron Resolution scale Wavelet transforms Electric utilities Multilayer neural networks Risk management Electricity load forecast General regression neural network Multiple resolution autoregressive Single resolution autoregressive Electric loads
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id	my.uniten.dspace-29788
record_format	dspace
spelling	my.uniten.dspace-297882023-12-28T16:57:40Z Electricity load forecast using neural network trained from wavelet-transformed data Benaouda D. Murtagh F. 15844746300 7005746699 Multi-layer perceptron Resolution scale Wavelet transforms Electric utilities Multilayer neural networks Risk management Wavelet transforms Electricity load forecast General regression neural network Multiple resolution autoregressive Single resolution autoregressive Electric loads With accurate electricity load forecasting important information is provided that helps to build up cost effective risk management plans for any electric utility such as electricity generators and retailers in the electricity market. In this article, we propose a wavelet based multilayer perceptron (MLPw) approach for the prediction of one-hour and one-day ahead load trained from Haar � trous wavelet-transformed historical electricity load data. We assess results produced by the MLPw method, with multiple resolution autoregressive (MAR), single resolution autoregressive (AR), multilayer perceptron (MLP), and the general regression neural network (GRNN) model. Experimental Results are based on the New South Wales (Australia) electricity load data that is provided by the National Electricity Market Management Company (NEMMCO). � 2006 IEEE. Final 2023-12-28T08:57:40Z 2023-12-28T08:57:40Z 2006 Conference paper 2-s2.0-40849113353 https://www.scopus.com/inward/record.uri?eid=2-s2.0-40849113353&partnerID=40&md5=c8a647375d394a89ff64cd857b3a241e https://irepository.uniten.edu.my/handle/123456789/29788 1703163 Scopus
institution	Universiti Tenaga Nasional
building	UNITEN Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Tenaga Nasional
content_source	UNITEN Institutional Repository
url_provider	http://dspace.uniten.edu.my/
topic	Multi-layer perceptron Resolution scale Wavelet transforms Electric utilities Multilayer neural networks Risk management Wavelet transforms Electricity load forecast General regression neural network Multiple resolution autoregressive Single resolution autoregressive Electric loads
spellingShingle	Multi-layer perceptron Resolution scale Wavelet transforms Electric utilities Multilayer neural networks Risk management Wavelet transforms Electricity load forecast General regression neural network Multiple resolution autoregressive Single resolution autoregressive Electric loads Benaouda D. Murtagh F. Electricity load forecast using neural network trained from wavelet-transformed data
description	With accurate electricity load forecasting important information is provided that helps to build up cost effective risk management plans for any electric utility such as electricity generators and retailers in the electricity market. In this article, we propose a wavelet based multilayer perceptron (MLPw) approach for the prediction of one-hour and one-day ahead load trained from Haar � trous wavelet-transformed historical electricity load data. We assess results produced by the MLPw method, with multiple resolution autoregressive (MAR), single resolution autoregressive (AR), multilayer perceptron (MLP), and the general regression neural network (GRNN) model. Experimental Results are based on the New South Wales (Australia) electricity load data that is provided by the National Electricity Market Management Company (NEMMCO). � 2006 IEEE.
author2	15844746300
author_facet	15844746300 Benaouda D. Murtagh F.
format	Conference paper
author	Benaouda D. Murtagh F.
author_sort	Benaouda D.
title	Electricity load forecast using neural network trained from wavelet-transformed data
title_short	Electricity load forecast using neural network trained from wavelet-transformed data
title_full	Electricity load forecast using neural network trained from wavelet-transformed data
title_fullStr	Electricity load forecast using neural network trained from wavelet-transformed data
title_full_unstemmed	Electricity load forecast using neural network trained from wavelet-transformed data
title_sort	electricity load forecast using neural network trained from wavelet-transformed data
publishDate	2023
_version_	1806426217607331840
score	13.222552

Electricity load forecast using neural network trained from wavelet-transformed data

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