Influence of demand response tariffs on the electrical load of households
Abstract
The roll out of smart meters introduces "Time of Use" tariffs to incentive demand response for household customers. This paper describes a methodology to identify the impact of demand response in customer load profiles and applies it to a smart meter data set. The smart meter data for residential household is from the Irish CER Smart Metering Project. The profiles are segmented via kmeans clustering and good clustering results are identified by the silhouette coefficient. One should expect that "Time of Use" tariffs influence the demand behaviour in such a way that the resulting profile changes would lead to separate clusters. This hypothesis can not be verified in this paper for the CER data set.
