{"updated":"2025-01-20T06:40:51.090182+00:00","links":{},"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00174495","sets":["1164:1165:8898:8899"]},"path":["8899"],"owner":"11","recid":"174495","title":["ライフログを用いたマイクログリッド導入効果検討が可能なDBの構築と需給マッチング効果の提示"],"pubdate":{"attribute_name":"公開日","attribute_value":"2016-09-06"},"_buckets":{"deposit":"0ecf5e12-1d65-492c-baa9-662405bc113c"},"_deposit":{"id":"174495","pid":{"type":"depid","value":"174495","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"ライフログを用いたマイクログリッド導入効果検討が可能なDBの構築と需給マッチング効果の提示","author_link":["359456","359459","359457","359458"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ライフログを用いたマイクログリッド導入効果検討が可能なDBの構築と需給マッチング効果の提示"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"データ理解，データ統合","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2016-09-06","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"横浜国立大学"},{"subitem_text_value":"横浜国立大学"},{"subitem_text_value":"横浜国立大学"},{"subitem_text_value":"横浜国立大学"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Yokohama National University","subitem_text_language":"en"},{"subitem_text_value":"Yokohama National University","subitem_text_language":"en"},{"subitem_text_value":"Yokohama National University","subitem_text_language":"en"},{"subitem_text_value":"Yokohama National University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/174495/files/IPSJ-DBS16163021.pdf","label":"IPSJ-DBS16163021.pdf"},"date":[{"dateType":"Available","dateValue":"2018-09-06"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-DBS16163021.pdf","filesize":[{"value":"1.2 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"13"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"00b8d410-8ffb-43d9-ac8f-def126c96ae3","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2016 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"北島, 大"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"西山, 誠人"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"田中, 雄哉"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"富井, 尚志"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN10112482","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-871X","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"社会的な電力削減要求の高まりから，再生可能エネルギーを用いた発電設備や蓄電池を構成要素としたマイクログリッドの導入が進んでいる．しかし需要量や発電量は日々変動すること，また移動するバッテリーである電気自動車 （ EV: Electric Vehicle ） が登場したことにより，電力の需給バランスを制御することが複雑になっている．そこで我々は，自動車での通勤ログや建物の需要電力のようなライフログと，気象ログや社会的な電力需要量のようなオープンデータを蓄積する統合データベースを設計し，太陽光パネルとEVを構成要素としたマイクログリッドの導入効果を事前に検討可能なシステムを構築してきた．本稿では，横浜国立大学を例にマイクログリッドの導入シミュレーションを行い，太陽光パネルや EV の導入量に応じた需給マッチング効果を提示し，日ごとや季節ごとに異なるマイクログリッド導入効果を提示可能であることを示す．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告データベースシステム（DBS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2016-09-06","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"21","bibliographicVolumeNumber":"2016-DBS-163"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"id":174495,"created":"2025-01-19T00:44:41.398474+00:00"}