Bottom-Up Medium-Term Hourly Resolution Household Electricity Load Profile Model

Abstract

<title>Abstract</title> Electricity load profiling at the household level is essential for Demand-side management, and Electrical systems designing, Where having reliable electricity is crucial and required. This paper introduces a load profile model that generates hourly load profiles for the entire year. This model is aimed at filling gaps in understanding household electricity use and provides valuable insights into electricity demand modeling. Our research is based on a detailed survey that included household socioeconomics, electricity usage, appliance inventory, and behavior patterns. In this study, We utilized the gathered data to classify households into three distinct socioeconomic groups. This categorization was based on their income levels and lifestyles and developed a probabilistic bottom-up approach to create customized electricity appliance profiles. This approach gives accurate power consumption behavior estimates. Our method integrates probabilistic appliance usage with the impact of socioeconomic and environmental factors like ambient temperature on energy usage. finally validates the result against actual consumption reports. also, We compared our Load Profile Generation (LPG) model with previously estimated load profiles. This comparison highlighted that variations in household power usage, influenced by human behavior, add complexity to the load profile, even when daily energy needs at home are similar.