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A review on clustering of residential electricity customers and its applications
- Publication Year :
- 2017
-
Abstract
- © 2017 IEEE. Clustering is a well-recognized data mining technique which enables the determination of underlying patterns in datasets. In electric power systems, it has been traditionally utilized for different purposes like defining customer load profiles, tariff designs and improving load forecasting. Some surveys summarized different clustering techniques which were traditionally used for customer segmentation and load profiling. The recent changes in power system structure and introduction of new technologies necessitate the new investigation of applications and benefits of clustering methods for power systems. In this regard, this paper aims at reviewing the new research for clustering techniques for residential customers.
- Subjects :
- Engineering
business.industry
Emerging technologies
020209 energy
Feature extraction
Tariff
02 engineering and technology
computer.software_genre
Electric power system
Market segmentation
0202 electrical engineering, electronic engineering, information engineering
Profiling (information science)
Electricity
Data mining
business
Cluster analysis
computer
Subjects
Details
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....d63ffd9d47e0037aa1112e9357e323ee