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Modeling Electricity Consumption using Modified Newton's Method

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 relia...

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Main Authors: P., Ozoh, S., Abd-Rahman, Jane, Labadin, M., Apperley
Format: E-Article
Language:English
Published: International Journal of Computer Applications 2013
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://ir.unimas.my/id/eprint/8467/1/Modeling%20Electricity%20Consumption%20using%20Modified%20Newton%E2%80%99s%20Method%20%28abstract%29.pdf
http://ir.unimas.my/id/eprint/8467/
http://dx.doi.org/10.5120/15046-3414
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spelling my.unimas.ir.84672015-08-04T01:28:10Z http://ir.unimas.my/id/eprint/8467/ Modeling Electricity Consumption using Modified Newton's Method P., Ozoh S., Abd-Rahman Jane, Labadin M., Apperley TK Electrical engineering. Electronics Nuclear engineering 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. International Journal of Computer Applications 2013 E-Article NonPeerReviewed text en http://ir.unimas.my/id/eprint/8467/1/Modeling%20Electricity%20Consumption%20using%20Modified%20Newton%E2%80%99s%20Method%20%28abstract%29.pdf P., Ozoh and S., Abd-Rahman and Jane, Labadin and M., Apperley (2013) Modeling Electricity Consumption using Modified Newton's Method. International Journal of Computer Applications, 86 (13). ISSN 0975 – 8887 http://dx.doi.org/10.5120/15046-3414 DOI: 10.5120/15046-3414
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
P., Ozoh
S., Abd-Rahman
Jane, Labadin
M., Apperley
Modeling Electricity Consumption using Modified Newton's Method
description 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.
format E-Article
author P., Ozoh
S., Abd-Rahman
Jane, Labadin
M., Apperley
author_facet P., Ozoh
S., Abd-Rahman
Jane, Labadin
M., Apperley
author_sort P., Ozoh
title Modeling Electricity Consumption using Modified Newton's Method
title_short Modeling Electricity Consumption using Modified Newton's Method
title_full Modeling Electricity Consumption using Modified Newton's Method
title_fullStr Modeling Electricity Consumption using Modified Newton's Method
title_full_unstemmed Modeling Electricity Consumption using Modified Newton's Method
title_sort modeling electricity consumption using modified newton's method
publisher International Journal of Computer Applications
publishDate 2013
url http://ir.unimas.my/id/eprint/8467/1/Modeling%20Electricity%20Consumption%20using%20Modified%20Newton%E2%80%99s%20Method%20%28abstract%29.pdf
http://ir.unimas.my/id/eprint/8467/
http://dx.doi.org/10.5120/15046-3414
_version_ 1644510539993317376
score 13.211869

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