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A Procedure for the Analysis of Multivariate Factors Affecting Electricity Consumption

P. Ozoh, S. Abd-Rahman Published in Information Sciences

International Journal of Applied Information Systems
Year of Publication: 2017
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors:P. Ozoh, S. Abd-Rahman
10.5120/ijais2017451726
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  1. P Ozoh and S Abd-Rahman. A Procedure for the Analysis of Multivariate Factors Affecting Electricity Consumption. International Journal of Applied Information Systems 12(9):8-12, December 2017. URL, DOI BibTeX

    @article{10.5120/ijais2017451726,
    	author = "P. Ozoh and S. Abd-Rahman",
    	title = "A Procedure for the Analysis of Multivariate Factors Affecting Electricity Consumption",
    	journal = "International Journal of Applied Information Systems",
    	issue_date = "December 2017",
    	volume = 12,
    	number = 9,
    	month = "Dec",
    	year = 2017,
    	issn = "2249-0868",
    	pages = "8-12",
    	url = "http://www.ijais.org/archives/volume12/number9/1013-2017451726",
    	doi = "10.5120/ijais2017451726",
    	publisher = "Foundation of Computer Science (FCS), NY, USA",
    	address = "New York, 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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Keywords

Dynamic relationship, modeling, reliability, energy needs, decision making