Şen Yıldız, MustafaDoğanşahin, KadirKekezoğlu, Bedri2022-03-082022-03-082021Şen Yıldız, M., Doğanşahin, K., & Kekezoğlu, B. (2021, November). Cascaded Clustering Analysis of Electricity Load Profile Based on Smart Metering Data. In 2021 13th International Conference on Electrical and Electronics Engineering (ELECO) (pp. 62-66). IEEE.https://hdl.handle.net/11494/374113th International Conference on Electrical and Electronics Engineering, ELECO 2021Virtual, Bursa25 November 2021 through 27 November 2021 Code 176537In the operation of deregulated power systems, consumption data is used effectively by system operators. Thanks to the developing measurement and communication technologies, measurement data with high temporal resolution can be obtained from many points within the power systems. Considering the number of consumers connected to power systems, the data in question is a big data. To deal with such a large amount data clustering analyzes are effectively used to identify consumers with similar behaviors in consumption data and to represent consumers with similar behaviors with a single load profile. Success of the clustering studies is related with the compatibility of the data to the selected algorithm and the appropriateness of the adopted approaches to the application of the algorithm to the data. In this study, a cascade clustering algorithm created with the k-medoids algorithm is proposed.eninfo:eu-repo/semantics/closedAccessConference Object626610.23919/ELECO54474.2021.9677826N/A