{"_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": ["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": [{"nameIdentifier": "38312", "nameIdentifierScheme": "WEKO"}]}]}, "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", "download_preview_message": "", "file_order": 0, "filename": "03_11obara.pdf", "filesize": [{"value": "455.0 kB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_note", "mimetype": "application/pdf", "size": 455000.0, "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"], "permalink_uri": "https://kitami-it.repo.nii.ac.jp/records/7469", "pubdate": {"attribute_name": "PubDate", "attribute_value": "2010-04-08"}, "publish_date": "2010-04-08", "publish_status": "0", "recid": "7469", "relation": {}, "relation_version_is_last": true, "title": ["Development of a Dynamic Operational Scheduling Algorithm for an Independent Micro-Grid with Renewable Energy"], "weko_shared_id": -1}