{"id":4249,"date":"2022-02-03T17:47:12","date_gmt":"2022-02-03T08:47:12","guid":{"rendered":"https:\/\/home.hiroshima-u.ac.jp\/~leehs\/?p=4249"},"modified":"2022-05-05T06:30:23","modified_gmt":"2022-05-04T21:30:23","slug":"new-publications-3","status":"publish","type":"post","link":"https:\/\/home.hiroshima-u.ac.jp\/~leehs\/?p=4249","title":{"rendered":"New publications"},"content":{"rendered":"\n<p>We have new publications from the efforts of the graduate members, Karodine, Khai, and Soklin as below.<\/p>\n\n\n\n<p><strong><em>Chreng K.<\/em><\/strong>,&nbsp;<strong>Lee H.S.<\/strong>*, and&nbsp;<strong><em>Tuy S<\/em><\/strong>. 2022. Electricity demand prediction for sustainable development in Cambodia using recurrent neural networks with ERA5 reanalysis climate variables.&nbsp;<em>Energy Rep.<\/em>, 8, 76-81.&nbsp;<a rel=\"noreferrer noopener\" href=\"https:\/\/doi.org\/10.1016\/j.egyr.2022.01.025\" target=\"_blank\">Open access<\/a><\/p>\n\n\n\n<p><strong><em>Khai L.Q.<\/em><\/strong>, and&nbsp;<strong>Lee H.S.<\/strong>*, 2022. Efficiency assessment of technologies implementation in Vietnam power transmission system.&nbsp;<em>Energy Rep.<\/em>, 8, 16-22.&nbsp;<a rel=\"noreferrer noopener\" href=\"http:\/\/doi.org\/10.1016\/j.egyr.2022.01.026\" target=\"_blank\">Open access<\/a><\/p>\n\n\n\n<p><strong><em>Tuy S.<\/em><\/strong>,&nbsp;<strong>Lee H.S.<\/strong>*, and&nbsp;<strong><em>Chreng K<\/em><\/strong>. 2022. Offshore wind resource mapping in Cambodia: Sensitivity assessment of the weather research and forecasting (WRF) model.&nbsp;<em>Energy Rep.<\/em>, 8, 359-364.&nbsp;<a rel=\"noreferrer noopener\" href=\"https:\/\/doi.org\/10.1016\/j.egyr.2022.01.065\" target=\"_blank\">Open access<\/a><\/p>\n\n\n\n<p>Congratulations !!!<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We have new publications from the efforts of the graduate members, Karodine, Khai, and Soklin as below. Chreng K.,&nbsp;Lee H.S.*, and&nbsp;Tuy S. 2022. Electricity demand prediction for sustainable development in Cambodia using recurrent neural networks with ERA5 reanalysis climate variables.&nbsp;Energy&#8230;<br \/><a class=\"read-more-button\" href=\"https:\/\/home.hiroshima-u.ac.jp\/~leehs\/?p=4249\">Read more<\/a><\/p>\n","protected":false},"author":1,"featured_media":4452,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[30],"tags":[],"class_list":["post-4249","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-publication"],"rttpg_featured_image_url":{"full":["https:\/\/home.hiroshima-u.ac.jp\/~leehs\/wp-content\/uploads\/2022\/02\/Eenergy-Report.png",1378,267,false],"landscape":["https:\/\/home.hiroshima-u.ac.jp\/~leehs\/wp-content\/uploads\/2022\/02\/Eenergy-Report.png",1378,267,false],"portraits":["https:\/\/home.hiroshima-u.ac.jp\/~leehs\/wp-content\/uploads\/2022\/02\/Eenergy-Report.png",1378,267,false],"thumbnail":["https:\/\/home.hiroshima-u.ac.jp\/~leehs\/wp-content\/uploads\/2022\/02\/Eenergy-Report-150x150.png",150,150,true],"medium":["https:\/\/home.hiroshima-u.ac.jp\/~leehs\/wp-content\/uploads\/2022\/02\/Eenergy-Report-300x58.png",300,58,true],"large":["https:\/\/home.hiroshima-u.ac.jp\/~leehs\/wp-content\/uploads\/2022\/02\/Eenergy-Report-1024x198.png",734,142,true],"1536x1536":["https:\/\/home.hiroshima-u.ac.jp\/~leehs\/wp-content\/uploads\/2022\/02\/Eenergy-Report.png",1378,267,false],"2048x2048":["https:\/\/home.hiroshima-u.ac.jp\/~leehs\/wp-content\/uploads\/2022\/02\/Eenergy-Report.png",1378,267,false],"post-thumbnail":["https:\/\/home.hiroshima-u.ac.jp\/~leehs\/wp-content\/uploads\/2022\/02\/Eenergy-Report-1170x227.png",1170,227,true]},"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":"We have new publications from the efforts of the graduate members, Karodine, Khai, and Soklin as below. Chreng K.,&nbsp;Lee H.S.*, and&nbsp;Tuy S. 2022. Electricity demand prediction for sustainable development in Cambodia using recurrent neural networks with ERA5 reanalysis climate variables.&nbsp;Energy...Read more","_links":{"self":[{"href":"https:\/\/home.hiroshima-u.ac.jp\/~leehs\/index.php?rest_route=\/wp\/v2\/posts\/4249","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=4249"}],"version-history":[{"count":4,"href":"https:\/\/home.hiroshima-u.ac.jp\/~leehs\/index.php?rest_route=\/wp\/v2\/posts\/4249\/revisions"}],"predecessor-version":[{"id":4454,"href":"https:\/\/home.hiroshima-u.ac.jp\/~leehs\/index.php?rest_route=\/wp\/v2\/posts\/4249\/revisions\/4454"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/home.hiroshima-u.ac.jp\/~leehs\/index.php?rest_route=\/wp\/v2\/media\/4452"}],"wp:attachment":[{"href":"https:\/\/home.hiroshima-u.ac.jp\/~leehs\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=4249"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/home.hiroshima-u.ac.jp\/~leehs\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=4249"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/home.hiroshima-u.ac.jp\/~leehs\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=4249"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}