{"created":"2022-06-20T23:56:21.527733+00:00","id":2019216,"links":{},"metadata":{"_buckets":{"deposit":"5311a892-b618-42c0-b1e2-32ae2c7b8c5b"},"_deposit":{"id":"2019216","owners":[1],"pid":{"revision_id":0,"type":"depid","value":"2019216"},"status":"published"},"_oai":{"id":"oai:u-ryukyu.repo.nii.ac.jp:02019216","sets":["1642838158423:1642838158860:1655711035808"]},"author_link":[],"item_1617186331708":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"An Application of Artificial Intelligence Techniques to Short-term Electricity Load Forecasting","subitem_1551255648112":"en"},{"subitem_1551255647225":"\u77e5\u7684\u624b\u6cd5\u306e\u5fdc\u7528\u306b\u3088\u308b\u96fb\u529b\u9700\u8981\u3068\u4e88\u6e2c\u6cd5\u306e\u958b\u767a","subitem_1551255648112":"ja"}]},"item_1617186419668":{"attribute_name":"Creator","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"MANDAL, PARAS","creatorNameLang":"en"}]}]},"item_1617187087799":{"attribute_name":"Dissertation Number","attribute_value_mlt":[{"subitem_1551256171004":"\u7532 \u7406\u5de5\u7814\u7b2c83\u53f7"}]},"item_1617187112279":{"attribute_name":"Degree Name","attribute_value_mlt":[{"subitem_1551256126428":"\u535a\u58eb\uff08\u5de5\u5b66\uff09","subitem_1551256129013":"ja"}]},"item_1617187136212":{"attribute_name":"Date Granted","attribute_value_mlt":[{"subitem_1551256096004":"2005-09-16"}]},"item_1617258105262":{"attribute_name":"Resource Type","attribute_value_mlt":[{"resourcetype":"doctoral thesis","resourceuri":"http://purl.org/coar/resource_type/c_db06"}]},"item_1617265215918":{"attribute_name":"Version Type","attribute_value_mlt":[{"subitem_1522305645492":"VoR","subitem_1600292170262":"http://purl.org/coar/version/c_970fb48d4fbd8a85"}]},"item_1617605131499":{"attribute_name":"File","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2022-06-09"}],"filename":"rikoken83.pdf","mimetype":"application/pdf","url":{"objectType":"other","url":"https://u-ryukyu.repo.nii.ac.jp/record/2019216/files/rikoken83.pdf"},"version_id":"dcbe18f1-e81b-4e13-b95c-241b03b3d35b"}]},"item_1617944105607":{"attribute_name":"Degree Grantor","attribute_value_mlt":[{"subitem_1551256015892":[{"subitem_1551256027296":"18001","subitem_1551256029891":"kakenhi"}],"subitem_1551256037922":[{"subitem_1551256042287":"\u7409\u7403\u5927\u5b66","subitem_1551256047619":"ja"}]}]},"item_title":"An Application of Artificial Intelligence Techniques to Short-term Electricity Load Forecasting","item_type_id":"59","owner":"1","path":["1655711035808"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2022-06-10"},"publish_date":"2022-06-10","publish_status":"0","recid":"2019216","relation_version_is_last":true,"title":["An Application of Artificial Intelligence Techniques to Short-term Electricity Load Forecasting"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2022-06-20T23:56:25.415810+00:00"}