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Investigation and Regression Analysis of Weekly Household Appliances in the UK


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DOI: https://doi.org/10.15866/irecon.v5i3.11142

Abstract


Household appliances are one of the largest electricity consumption devices. Recently, there has been significant increase in the number of appliances per household. Although modern appliances are more efficient but the energy saving through these energy efficiency has been overwhelmed by the increase number of appliances. The weekly appliances including the wet appliances are mainly utilized for heating purposes and hence use electricity. The time of the day where weekly appliances are used play significant factor in the power consumption. Therefore there is a need to investigate the main factors affecting the use of weekly appliances in order to manage the stress on household peak periods. This paper delivers the daily time-of-use profiles of major weekly based usage household appliances: Washing machine, clothes tumble dryer, dishwasher, vacuum cleaner and iron. The paper also investigates the factors affecting the time-of-use from collected data of 381 households in United Kingdom.
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Keywords


Household; Independent Variable Time-of-Use; Wet Appliances

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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

Sheboniea, M., Darwish, M., Janbey, A., Measuring Factors Affecting Use of Household Daily Appliances by Using Categorical Regression Analysis: a Case Study of UK Households, (2016) International Journal on Energy Conversion (IRECON), 4 (4), pp. 82-88.

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

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.

Department of Energy & Cliamt ChangeDECC,Smart metering implementation programme, Government response to the consultation on the consumer engagement strategy " december 2012.
http://dx.doi.org/10.1049/ic.2009.0056

Jason Palmer, Nicola Terry,Tom Kane, "Further analysis of the household appliances electricity use survey, electrical appliances at home:Tuning in to energy saving." Element Energy Loughborough University, 2013.
http://dx.doi.org/10.3403/00179395

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

Department of energy and climate change, energy consumption in the UK ECUK domestic data tables 2014.
http://dx.doi.org/10.1016/s1755-0084(14)70010-9

Lesson 6 Appliance Physics, "Electrical household appliances –, tasks, power, and energy summer 2004 cal poly pomona," .
http://dx.doi.org/10.1007/978-3-642-60020-3_54

S. Sugiura, A. Miwa and T. Uno, "Analysis of Household Energy Consumption of Lighting and Electric Appliances and Predictions for 2020, 2013.
http://dx.doi.org/10.1007/978-3-642-56531-1_47

M. Newborough and P. Augood, "Demand-side management opportunities for the UK domestic sector," in Generation, Transmission and Distribution, IEE Proceedings-, 1999, pp. 283-293.
http://dx.doi.org/10.1049/ip-gtd:19990318

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

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

Sheboniea, M., Darwish, M., Janbey, A., Measuring Factors Affecting the Use of Household Cooking Equipment and Appliances by Using Categorical Regression Analysis: a Case Study of UK Households, (2016) International Journal on Energy Conversion (IRECON), 4 (5), pp. 122-129.

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 Logic Anonymous 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


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