A model for generating household electricity load profiles

TLDR

Bottom‑up load models construct electricity consumption profiles from elementary components such as households or appliances, enabling detailed consumption data generation. This study presents a simplified bottom‑up model for generating household electricity load profiles. The model produces realistic hourly domestic consumption data for from a few to thousands of households using publicly available reports, statistics, and two measured block‑house datasets for training and verification. Generated load profiles closely match real data, and case studies show that mild demand‑side management can reduce daily peak loads by 7.2 %, while more aggressive schemes can level the yearly peak day by 42 % and compensate a 3‑hour loss of load with a 61 % mean load reduction. © 2005 John Wiley & Sons, Ltd.

Abstract

Electricity consumption data profiles that include details on the consumption can be generated with a bottom-up load models. In these models the load is constructed from elementary load components that can be households or even their individual appliances. In this work a simplified bottom-up model is presented. The model can be used to generate realistic domestic electricity consumption data on an hourly basis from a few up to thousands of households. The model uses input data that is available in public reports and statistics. Two measured data sets from block houses are also applied for statistical analysis, model training, and verification. Our analysis shows that the generated load profiles correlate well with real data. Furthermore, three case studies with generated load data demonstrate some opportunities for appliance level demand side management (DSM). With a mild DSM scheme using cold loads, the daily peak loads can be reduced 7.2% in average. With more severe DSM schemes the peak load at the yearly peak day can be completely levelled with 42% peak reduction and sudden 3 h loss of load can be compensated with 61% mean load reduction. Copyright © 2005 John Wiley & Sons, Ltd.