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

研究成果: Conference article › 査読

2 被引用数 (Scopus)

抄録

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.

本文言語	English
ページ（範囲）	2934-2939
ページ数	6
ジャーナル	Energy Procedia
巻	75
DOI	https://doi.org/10.1016/j.egypro.2015.07.595
出版ステータス	Published - 2015
外部発表	はい
イベント	7th International Conference on Applied Energy, ICAE 2015 - Abu Dhabi, United Arab Emirates 継続期間: 2015 3月 28 → 2015 3月 31

ASJC Scopus subject areas

エネルギー（全般）

UN SDG

この成果は、次の持続可能な開発目標に貢献しています

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10.1016/j.egypro.2015.07.595

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引用スタイル

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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",

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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

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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

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ASJC Scopus subject areas

UN SDG

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