Author:
Zhou Kai-le,Yang Shan-lin,Shen Chao
Subject
Renewable Energy, Sustainability and the Environment
Reference73 articles.
1. Sathiracheewin S, Surapatana V. Daily typical load clustering of residential consumers. In: Eighth international conference on electrical engineering/electronics, computer, telecommunications and international technology (ECTI-CON); 2011. p. 797–800.
2. Methods for customer and demand response policies selection in new electricity markets;Valero;IET Generation, Transmission & Distribution,2007
3. A review and an analysis of the residential electric load curve models;Grandjean;Renewable and Sustainable Energy Reviews,2012
4. Bidoki SM, Mahmoudi-Kohan N, Gerami S. Comparison of several clustering methods in the case of electrical load curves classification. In: 16th conference on electrical power distribution networks (EPDC); 2011. p. 1–7.
5. Chicco G, Napoli R, Piglione F. Application of clustering algorithms and self organising maps to classify electricity consumers. In: IEEE Bologna power tech conference proceedings. IEEE; 2003. p. 23–26.
Cited by
200 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献