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Reseach Article

Modeling Electricity Consumption using Modified Newton’s Method

by P. Ozoh, S. Abd-rahman, J. Labadin, M. Apperley
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 86 - Number 13
Year of Publication: 2014
Authors: P. Ozoh, S. Abd-rahman, J. Labadin, M. Apperley
10.5120/15046-3414

P. Ozoh, S. Abd-rahman, J. Labadin, M. Apperley . Modeling Electricity Consumption using Modified Newton’s Method. International Journal of Computer Applications. 86, 13 ( January 2014), 27-31. DOI=10.5120/15046-3414

@article{ 10.5120/15046-3414,
author = { P. Ozoh, S. Abd-rahman, J. Labadin, M. Apperley },
title = { Modeling Electricity Consumption using Modified Newton’s Method },
journal = { International Journal of Computer Applications },
issue_date = { January 2014 },
volume = { 86 },
number = { 13 },
month = { January },
year = { 2014 },
issn = { 0975-8887 },
pages = { 27-31 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume86/number13/15046-3414/ },
doi = { 10.5120/15046-3414 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:04:07.964835+05:30
%A P. Ozoh
%A S. Abd-rahman
%A J. Labadin
%A M. Apperley
%T Modeling Electricity Consumption using Modified Newton’s Method
%J International Journal of Computer Applications
%@ 0975-8887
%V 86
%N 13
%P 27-31
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper we present modified Newton's model (MNM) to model electricity consumption data. A previous method to model electricity consumption data was done using forecasting technique (FT) and artificial neural networks (ANN). A drawback to previous techniques is that computations give less reliable results when compared to MNM. A comparative analysis is carried out for FT, ANN and MNM to investigate which of these methods is the most reliable technique. The results indicate that MNM model reduced mean absolute percentage error (MAPE) to 0. 93%, while those of FT and ANN were 3. 01% and 3. 11%, respectively. Based on these error measures, the study shows that the three methods are highly accurate modeling techniques, but MNM was found to be the best technique when mining information. Experimental results indicate that MNM is the most accurate when compared to FT and ANN and thus has the best competitive performance level.

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Index Terms

Computer Science
Information Sciences

Keywords

Efficiency modified newton's method forecasting technique artificial neural networks reliability