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