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A Procedure for the Analysis of Multivariate Factors Affecting Electricity Consumption

by P. Ozoh, S. Abd-Rahman
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International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 12 - Number 9
Year of Publication: 2017
Authors: P. Ozoh, S. Abd-Rahman
10.5120/ijais2017451726

P. Ozoh, S. Abd-Rahman . A Procedure for the Analysis of Multivariate Factors Affecting Electricity Consumption. International Journal of Applied Information Systems. 12, 9 ( Dec 2017), 8-12. DOI=10.5120/ijais2017451726

@article{ 10.5120/ijais2017451726,
author = { P. Ozoh, S. Abd-Rahman },
title = { A Procedure for the Analysis of Multivariate Factors Affecting Electricity Consumption },
journal = { International Journal of Applied Information Systems },
issue_date = { Dec 2017 },
volume = { 12 },
number = { 9 },
month = { Dec },
year = { 2017 },
issn = { 2249-0868 },
pages = { 8-12 },
numpages = {9},
url = { https://www.ijais.org/archives/volume12/number9/1013-2017451726/ },
doi = { 10.5120/ijais2017451726 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T19:08:37.209650+05:30
%A P. Ozoh
%A S. Abd-Rahman
%T A Procedure for the Analysis of Multivariate Factors Affecting Electricity Consumption
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 12
%N 9
%P 8-12
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This research explores the dynamic relationship between temperature and level of building occupancy; and their effect on electricity consumption of electric appliances. It develops a model for electricity consumption based on these variables. It is important that reliable electricity consumption models are employed in finding solution to energy needs, otherwise inappropriate models may result in poor estimates for decision making. In this research, models for the daily electricity consumption for a local university in Malaysia was developed based on extraneous factors, such as temperature and level of building occupancy . As a result of developing such models, social and economic welfare will be improved.

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Index Terms

Computer Science
Information Sciences

Keywords

Dynamic relationship modeling reliability energy needs decision making

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