A Comparative Study of Clustering Algorithms for Electricity Self-sufficient Community Extraction

Yoshiki Yamagata; Daisuke Murakami; Kazuhiro Minami; Nana Arizumi; Sho Kuroda; Tomoya Tanjo; Hiroshi Maruyama

doi:10.1016/j.egypro.2015.07.595

A Comparative Study of Clustering Algorithms for Electricity Self-sufficient Community Extraction

Yoshiki Yamagata, Daisuke Murakami, Kazuhiro Minami, Nana Arizumi, Sho Kuroda, Tomoya Tanjo, Hiroshi Maruyama

Research output: Contribution to journal › Conference article › peer-review

2 Citations (Scopus)

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.

Original language	English
Pages (from-to)	2934-2939
Number of pages	6
Journal	Energy Procedia
Volume	75
DOIs	https://doi.org/10.1016/j.egypro.2015.07.595
Publication status	Published - 2015
Externally published	Yes
Event	7th International Conference on Applied Energy, ICAE 2015 - Abu Dhabi, United Arab Emirates Duration: 2015 Mar 28 → 2015 Mar 31

Keywords

Electricity
Graph partitioning
Photovoltaic panels
Simmulated annealing
Vihicle to community system

ASJC Scopus subject areas

Energy(all)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.egypro.2015.07.595

Cite this

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title = "A Comparative Study of Clustering Algorithms for Electricity Self-sufficient Community Extraction",

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.",

keywords = "Electricity, Graph partitioning, Photovoltaic panels, Simmulated annealing, Vihicle to community system",

author = "Yoshiki Yamagata and Daisuke Murakami and Kazuhiro Minami and Nana Arizumi and Sho Kuroda and Tomoya Tanjo and Hiroshi Maruyama",

note = "Funding Information: This study was funded by the {"}Research Program on Climate Change Adaptation{"} of the Ministry of Education, Culture, Sports, Science and Technology, Japan. Publisher Copyright: {\textcopyright} 2015 The Authors. Published by Elsevier Ltd.; 7th International Conference on Applied Energy, ICAE 2015 ; Conference date: 28-03-2015 Through 31-03-2015",

year = "2015",

doi = "10.1016/j.egypro.2015.07.595",

language = "English",

volume = "75",

pages = "2934--2939",

journal = "Energy Procedia",

issn = "1876-6102",

publisher = "Elsevier BV",

}

TY - JOUR

T1 - A Comparative Study of Clustering Algorithms for Electricity Self-sufficient Community Extraction

AU - Yamagata, Yoshiki

AU - Murakami, Daisuke

AU - Minami, Kazuhiro

AU - Arizumi, Nana

AU - Kuroda, Sho

AU - Tanjo, Tomoya

AU - Maruyama, Hiroshi

N1 - Funding Information: This study was funded by the "Research Program on Climate Change Adaptation" of the Ministry of Education, Culture, Sports, Science and Technology, Japan. Publisher Copyright: © 2015 The Authors. Published by Elsevier Ltd.

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

KW - Electricity

KW - Graph partitioning

KW - Photovoltaic panels

KW - Simmulated annealing

KW - Vihicle to community system

UR - http://www.scopus.com/inward/record.url?scp=84947104740&partnerID=8YFLogxK

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U2 - 10.1016/j.egypro.2015.07.595

DO - 10.1016/j.egypro.2015.07.595

M3 - Conference article

AN - SCOPUS:84947104740

SN - 1876-6102

VL - 75

SP - 2934

EP - 2939

JO - Energy Procedia

JF - Energy Procedia

T2 - 7th International Conference on Applied Energy, ICAE 2015

Y2 - 28 March 2015 through 31 March 2015

ER -

A Comparative Study of Clustering Algorithms for Electricity Self-sufficient Community Extraction

Abstract

Keywords

ASJC Scopus subject areas

UN SDGs

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