{"id":5741,"date":"2024-07-04T12:21:08","date_gmt":"2024-07-04T03:21:08","guid":{"rendered":"https:\/\/home.hiroshima-u.ac.jp\/~leehs\/?p=5741"},"modified":"2024-07-04T15:58:42","modified_gmt":"2024-07-04T06:58:42","slug":"new-publications-8","status":"publish","type":"post","link":"https:\/\/home.hiroshima-u.ac.jp\/~leehs\/?p=5741","title":{"rendered":"New publications"},"content":{"rendered":"\n<p><em>Soto Calvo<\/em> M et al., 2024. <strong>A novel method for long-term power demand prediction using ECEEMDAN and neural network with uncertainty analysis: A Cuba case study<\/strong>. <em>Applied Energy<\/em>. (in press)<\/p>\n\n\n\n<p><em>Aljber<\/em> et al. 2024. <strong>Optimal site selection and potential power assessment for tidal power generation in the Seto Inland Sea, Japan, based on high-resolution ocean modelling and multicriteria analysis<\/strong>. <em>Applied Energy<\/em>. (in press)<\/p>\n\n\n\n<p><strong>Congratulations<\/strong>!<\/p>\n\n\n\n<ol class=\"wp-block-list\"><\/ol>\n","protected":false},"excerpt":{"rendered":"<p>Soto Calvo M et al., 2024. A novel method for long-term power demand prediction using ECEEMDAN and neural network with uncertainty analysis: A Cuba case study. Applied Energy. (in press) Aljber et al. 2024. Optimal site selection and potential power&#8230;<br \/><a class=\"read-more-button\" href=\"https:\/\/home.hiroshima-u.ac.jp\/~leehs\/?p=5741\">Read more<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[30],"tags":[],"class_list":["post-5741","post","type-post","status-publish","format-standard","hentry","category-publication"],"rttpg_featured_image_url":null,"rttpg_author":{"display_name":"hslee","author_link":"https:\/\/home.hiroshima-u.ac.jp\/~leehs\/?author=1"},"rttpg_comment":0,"rttpg_category":"<a href=\"https:\/\/home.hiroshima-u.ac.jp\/~leehs\/?cat=30\" rel=\"category\">Publication<\/a>","rttpg_excerpt":"Soto Calvo M et al., 2024. A novel method for long-term power demand prediction using ECEEMDAN and neural network with uncertainty analysis: A Cuba case study. Applied Energy. (in press) Aljber et al. 2024. Optimal site selection and potential power...Read more","_links":{"self":[{"href":"https:\/\/home.hiroshima-u.ac.jp\/~leehs\/index.php?rest_route=\/wp\/v2\/posts\/5741","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/home.hiroshima-u.ac.jp\/~leehs\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/home.hiroshima-u.ac.jp\/~leehs\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/home.hiroshima-u.ac.jp\/~leehs\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/home.hiroshima-u.ac.jp\/~leehs\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=5741"}],"version-history":[{"count":3,"href":"https:\/\/home.hiroshima-u.ac.jp\/~leehs\/index.php?rest_route=\/wp\/v2\/posts\/5741\/revisions"}],"predecessor-version":[{"id":5747,"href":"https:\/\/home.hiroshima-u.ac.jp\/~leehs\/index.php?rest_route=\/wp\/v2\/posts\/5741\/revisions\/5747"}],"wp:attachment":[{"href":"https:\/\/home.hiroshima-u.ac.jp\/~leehs\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=5741"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/home.hiroshima-u.ac.jp\/~leehs\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=5741"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/home.hiroshima-u.ac.jp\/~leehs\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=5741"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}