{"created":"2021-03-01T05:59:55.320828+00:00","id":7469,"links":{},"metadata":{"_buckets":{"deposit":"0ad61ee9-72ff-4079-8318-416f2671b70f"},"_deposit":{"id":"7469","owners":[],"pid":{"revision_id":0,"type":"depid","value":"7469"},"status":"published"},"_oai":{"id":"oai:kitami-it.repo.nii.ac.jp:00007469","sets":["1:86"]},"author_link":["44843","38312"],"item_1646810750418":{"attribute_name":"出版タイプ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_3_biblio_info_186":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2008","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"3","bibliographicPageEnd":"485","bibliographicPageStart":"474","bibliographicVolumeNumber":"3","bibliographic_titles":[{"bibliographic_title":"Journal of Thermal Science and Technology"}]}]},"item_3_description_184":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"A micro-grid with the capacity for sustainable energy is expected to be a distributed energy system that exhibits quite a small environmental impact. In an independent micro-grid, \"green energy,\" which is typically thought of as unstable, can be utilized effectively by introducing a battery. In the past study, the production-of-electricity prediction algorithm (PAS) of the solar cell was developed. In PAS, a layered neural network is made to learn based on past weather data and the operation plan of the compound system of a solar cell and other energy systems was examined using this prediction algorithm. In this paper, a dynamic operational scheduling algorithm is developed using a neural network (PAS) and a genetic algorithm (GA) to provide predictions for solar cell power output. We also do a case study analysis in which we use this algorithm to plan the operation of a system that connects nine houses in Sapporo to a micro-grid composed of power equipment and a polycrystalline silicon solar cell. In this work, the relationship between the accuracy of output prediction of the solar cell and the operation plan of the micro-grid was clarified. Moreover, we found that operating the micro-grid according to the plan derived with PAS was far superior, in terms of equipment hours of operation, to that using past average weather data.","subitem_description_type":"Abstract"}]},"item_3_description_194":{"attribute_name":"フォーマット","attribute_value_mlt":[{"subitem_description":"application/pdf","subitem_description_type":"Other"}]},"item_3_full_name_183":{"attribute_name":"著者別名","attribute_value_mlt":[{"nameIdentifiers":[{"nameIdentifier":"44843","nameIdentifierScheme":"WEKO"},{"nameIdentifier":"10342437","nameIdentifierScheme":"KAKEN","nameIdentifierURI":"https://nrid.nii.ac.jp/ja/nrid/1000010342437 "}],"names":[{"name":"小原, 伸哉","nameLang":"ja"}]}]},"item_3_publisher_212":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"日本機械学会"}]},"item_3_relation_191":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type_id":{"subitem_relation_type_id_text":"http://doi.org/10.1299/jtst.3.474","subitem_relation_type_select":"DOI"}}]},"item_3_select_195":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_select_item":"publisher"}]},"item_access_right":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"open access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_abf2"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"OBARA, Shinya","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2016-11-22"}],"displaytype":"detail","filename":"03_11obara.pdf","filesize":[{"value":"455.0 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"03_11obara.pdf","url":"https://kitami-it.repo.nii.ac.jp/record/7469/files/03_11obara.pdf"},"version_id":"b9c2637c-cc57-486b-aeb4-6afd5a679212"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Micro-Grid","subitem_subject_scheme":"Other"},{"subitem_subject":"Operation Planning","subitem_subject_scheme":"Other"},{"subitem_subject":"Energy Storage","subitem_subject_scheme":"Other"},{"subitem_subject":"Renewable Energy","subitem_subject_scheme":"Other"},{"subitem_subject":"Neural Network","subitem_subject_scheme":"Other"},{"subitem_subject":"Weather Prediction","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"Development of a Dynamic Operational Scheduling Algorithm for an Independent Micro-Grid with Renewable Energy","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Development of a Dynamic Operational Scheduling Algorithm for an Independent Micro-Grid with Renewable Energy","subitem_title_language":"en"}]},"item_type_id":"3","owner":"1","path":["86"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2010-04-08"},"publish_date":"2010-04-08","publish_status":"0","recid":"7469","relation_version_is_last":true,"title":["Development of a Dynamic Operational Scheduling Algorithm for an Independent Micro-Grid with Renewable Energy"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2022-12-13T02:22:32.713496+00:00"}