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Smart metering technology provides the precise dataset of hourly residential electricity consumption which is then used to evaluate home load profile and analyze the proportion of underlying variables such as heating, cooling, ventilation and lighting. Based on smart-meter datasets, this research draws home load profiles in three weekday, weekend, and worst case scenarios. The results not only show the different peak loads on weekdays (9:00AM & 8:00PM) and weekends/holidays (11:00AM & 9:00PM) but also the amount of different factors (water heating, cooking, laundry, lighting) contributed to these peak loads. Outcomes of this research can be used later by either electricity utilities to predict overall residential load profile and especially peak load or by households to monitor home electricity usage and identify the optimum approach to sustainable residential electricity usage.Current output:Master Dissertation (2016)
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