{"updated":"2025-01-19T11:26:41.192967+00:00","links":{},"id":229726,"created":"2025-01-19T01:29:03.446106+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00229726","sets":["6504:11436:11438"]},"path":["11438"],"owner":"44499","recid":"229726","title":["逆問題解析によるボトムアップ型エネルギー需要推計モデルの較正"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-02-16"},"_buckets":{"deposit":"5192ae82-40ff-4c52-8ddd-0ea8a04d19e6"},"_deposit":{"id":"229726","pid":{"type":"depid","value":"229726","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"逆問題解析によるボトムアップ型エネルギー需要推計モデルの較正","author_link":["617938","617937","617936","617935","617939","617934"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"逆問題解析によるボトムアップ型エネルギー需要推計モデルの較正"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"ソフトウェア科学・工学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2023-02-16","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"阪大"},{"subitem_text_value":"阪大"},{"subitem_text_value":"阪大"},{"subitem_text_value":"阪大"},{"subitem_text_value":"阪大"},{"subitem_text_value":"関西電力"}]},"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/229726/files/IPSJ-Z85-6M-04.pdf","label":"IPSJ-Z85-6M-04.pdf"},"date":[{"dateType":"Available","dateValue":"2023-11-17"}],"format":"application/pdf","filename":"IPSJ-Z85-6M-04.pdf","filesize":[{"value":"515.6 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"90ae67cb-56e2-40d2-a7de-d47f051a7a66","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"西澤, 一輝"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"岸本, 一将"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"内田, 英明"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"下田, 吉之"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"山口, 容平"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"十川, 和也"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"脱炭素社会に向け様々な検討がなされており、人の行動や設備、気象などの住宅におけるエネルギー消費の発生過程を模擬したボトムアップ型のエネルギー需要推計モデルは各対策の効果を定量的に評価できる。しかし、このようなボトムアップ型モデルの入力データは、調査手法によっては実態と大きな乖離が生じる。またパラメータ数が非常に多いにも関わらず、支配的要因は非自明である。そこで本研究では、ボトムアップ型モデルをアンサンブル学習し、得られた変数重要度に基づいて支配的なパラメータを抽出した。そして、住宅用スマートメータデータの実測値を用いて逆問題を解くことで較正した。その結果、推計精度は向上し、各対策の定量的な評価が可能となった。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"402","bibliographic_titles":[{"bibliographic_title":"第85回全国大会講演論文集"}],"bibliographicPageStart":"401","bibliographicIssueDates":{"bibliographicIssueDate":"2023-02-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2023"}]},"relation_version_is_last":true,"weko_creator_id":"44499"}}