A Comparative Study of Clustering Algorithms for Electricity Self-sufficient Community Extraction. (August 2015)

• Record Type: Journal Article
• Authors: Yamagata, Yoshiki; Murakami, Daisuke; Minami, Kazuhiro; Arizumi, Nana; Kuroda, Sho; Tanjo, Tomoya; Maruyama, Hiroshi
• Is Part Of: Energy procedia. Volume 75(2015)
• Page Start: 2934
• Page End: 2939
• Publication Date: 2015-08
• Subjects: Vihicle to community system -- Electricity -- Graph partitioning -- Simmulated annealing -- Photovoltaic panels; Power resources -- Congresses; Power resources -- Periodicals; Power resources; Conference proceedings; Periodicals; 333.7905
• DOI: 10.1016/j.egypro.2015.07.595
• Languages: English
• ISSNs: 1876-6102

Abstract

Abstract: As a first step of implementing an energy resilient community cluster system, we apply clustering algorithms, including two graph partitioning algorithms and a stochastic optimization algorithm, to electricity self-sufficient community clusters in Yokohama city, Japan. The cluster extraction results are compared in terms of the resulting cost function values and the computational efficiency. The comparison result suggests the usefulness of a simple graph partitioning approach.