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