Cascaded Clustering Analysis of Electricity Load Profile Based on Smart Metering Data
13th International Conference on Electrical and Electronics Engineering, ELECO 2021, Virtual, Bursa, Türkiye, 25 - 27 Kasım 2021, ss.62-66, (Tam Metin Bildiri)
- Yayın Türü: Bildiri / Tam Metin Bildiri
- Doi Numarası: 10.23919/eleco54474.2021.9677826
- Basıldığı Şehir: Virtual, Bursa
- Basıldığı Ülke: Türkiye
- Sayfa Sayıları: ss.62-66
- Kırklareli Üniversitesi Adresli: Evet
Özet
In 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.