Measuring Factors Affecting Use of Household Daily Appliances by Using Categorical Regression Analysis: a Case Study of UK Households

Mussa Ali Sheboniea; M. Darwish; A. Janbey

doi:10.15866/irecon.v4i4.10204

Measuring Factors Affecting Use of Household Daily Appliances by Using Categorical Regression Analysis: a Case Study of UK Households

Mussa Ali Sheboniea^(1*), M. Darwish⁽²⁾, A. Janbey⁽³⁾

^(*) Corresponding author

DOI's assignment:
the author of the article can submit here a request for assignment of a DOI number to this resource!
Cost of the service: euros 10,00 (for a DOI)

Abstract

One of the largest users of electricity and energy in the average U.K. residential household is appliances. As influencing the time-of-use of electricity becomes gradually more important to control the stress on today’s electrical grid infrastructure, understanding when appliances use energy and what reasons of the variation in their use are of great importance. However, there is partial appliance detailed data available to understand their use configurations. This study delivers daily time-of-use profiles of five major household appliances: kettle, Microwave, Electrical rice cooker, Washing machine, and TV for winter and summer usage as the dependent variables respectively, through analysing time-of-use data collected for 381 respondents in United Kingdom. It investigates the demographic factors that could have significant effect on the time-of-use of particular household appliance.
Copyright © 2016 Praise Worthy Prize - All rights reserved.

Keywords

Appliances; Demographic Factors; Dependent Variable; Residential; Time-of-use

Full Text:

PDF

References

M. H. Chiogioji, "Improving Appliance Efficiency," Energy Conservation in Commercial and Residential Buildings, Marcel Dekker, New York, pp. 89-138, 1982.
http://dx.doi.org/10.1080/00908318408908089

S. Tyler and L. Schipper, "Changing electricity use in homes: Explaining the scandinavian case," in Proceedings of ACEEE, 1990, pp. 161-170.
http://dx.doi.org/10.1016/0360-5442(90)90067-c

(). Domestic appliances, cooking & cooling equipment, BRE on behalf of the Department of Energy and Climate Change. Available: https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/274778/9_Domestic_appliances__cooking_and_cooling_equipment.pdf.

Sheboniea, M., Darwish, M., Janbey, A., Review of UK Domestic Electricity Consumption and Potential Trends in Using Renewable Energy Sources and Plug-in Hybrid Electrical Vehicles, (2015) International Review of Electrical Engineering (IREE), 10 (6), pp. 778-786.
http://dx.doi.org/10.15866/iree.v10i6.7427

O. Olatoke, S.S. Sultan and M. K. Darwish, " Statistical Analysis of Power Quality in Office Buildings, International Journal of Scientific and Engineering Research, January 2013.
http://dx.doi.org/10.1109/upec.2013.6714871

I. Mansouri, M. Newborough and D. Probert, "Energy consumption in UK households: impact of domestic electrical appliances," Appl. Energy, vol. 54, pp. 211-285, 1996.
http://dx.doi.org/10.1016/0306-2619(96)00001-3

L. Nielsen, "How to get the birds in the bush into your hand: results from a Danish research project on electricity savings," Energy Policy, vol. 21, pp. 1133-1144, 1993.
http://dx.doi.org/10.1016/0301-4215(93)90263-f

A. Kavousian, R. Rajagopal and M. Fischer, "Determinants of residential electricity consumption: Using smart meter data to examine the effect of climate, building characteristics, appliance stock, and occupants' behavior," Energy, vol. 55, pp. 184-194, 2013.
http://dx.doi.org/10.1016/j.energy.2013.03.086

K. Cetin, P. Tabares-Velasco and A. Novoselac, "Appliance daily energy use in new residential buildings: Use profiles and variation in time-of-use," Energy Build., vol. 84, pp. 716-726, 2014.
http://dx.doi.org/10.1016/j.enbuild.2014.07.045

J. B. Kruskal, "Analysis of factorial experiments by estimating monotone transformations of the data," Journal of the Royal Statistical Society.Series B (Methodological), pp. 251-263, 1965.
http://dx.doi.org/10.1111/1467-9868.00130

S. L. Shrestha, "Categorical regression models with optimal scaling for predicting indoor air pollution concentrations inside kitchens in Nepalese households," Nepal Journal of Science and Technology, vol. 10, pp. 205-211, 2009.
http://dx.doi.org/10.3126/njst.v10i0.2962

J. J. Meulman, "Prediction and classification in nonlinear data analysis: Something old, something new, something borrowed, something blue," Psychometrika, vol. 68, pp. 493-517, 2003.
http://dx.doi.org/10.1007/bf02295607

J. Xu, D. Ho and L. F. Capretz, "Building an OSS quality estimation model with CATREG," ArXiv Preprint arXiv:1507.06929, 2015.
http://dx.doi.org/10.2172/1212177

J. W. Garson, "Quantification in modal logic," in Handbook of Philosophical LogicAnonymous Springer, 2001, pp. 267-323.
http://dx.doi.org/10.1007/978-94-017-0454-0_3

J. W. Pratt, "Dividing the indivisible: Using simple symmetry to partition variance explained," in Proceedings of the Second International Conference in Statistics, 1987, pp. 245-260.
http://dx.doi.org/10.1111/j.1468-2486.2010.00977.x

Refbacks

There are currently no refbacks.

Username
Password
Remember me