A conditional demand analysis based amr metered load disaggregation: A case study

There is growing effort to harness the load flexibility potential from household loads. Nevertheless, the true flexibility potential has not yet been quantified properly. Although the load profiles of limited number of appliances can be attained through appliance level measuring units, the application of the approach to quantify the use profile of appliances for aggregated number of households is cost prohibitive.  This study applies a conditional demand analysis (CDA) technique on automatic meter reading (AMR) system metered hourly consumption data linked to detailed statistical survey data for thousands of households from different geographical location in Finland. The study principally assesses the applicability of the CDA technique in an effort to disaggregate household consumption to individual appliances. The results of the analysis include the share of major appliances from household hourly consumption on workdays and holidays of the four seasons of the year. The limitations of the application of the CDA method on hourly-metered consumption data are investigated. Furthermore a use case scenario is presented to demonstrate to what extent the disaggregated results can be useful for demand response programs. Finally, for a more accurate CDA analysis, the study recommends relevant questions to be included in the survey questioner with regard to specific appliances.