{"id":51,"date":"2021-10-02T11:25:34","date_gmt":"2021-10-02T09:25:34","guid":{"rendered":"https:\/\/pageperso.lis-lab.fr\/zhongliang.li\/?p=51"},"modified":"2021-10-02T11:27:39","modified_gmt":"2021-10-02T09:27:39","slug":"recent-paper-published-in-applied-energy","status":"publish","type":"post","link":"https:\/\/pageperso.lis-lab.fr\/zhongliang.li\/index.php\/2021\/10\/02\/recent-paper-published-in-applied-energy\/","title":{"rendered":"Recent paper published in \u00ab\u00a0Applied Energy\u00a0\u00bb"},"content":{"rendered":"\n<p>Our paper entitled \u00ab\u00a0Symbolic deep learning based prognostics for dynamic operating proton exchange membrane fuel cells\u00a0\u00bb has been published in Applied Energy. In this study, we tried to extract the fuel cell health indicator in dynamic operating conditions via the parameter identification of a degradation&amp;dynamic input-output model. In addition, we also investigate the symbolic-type deep-learning to achieve robust long-term prediction. <\/p>\n\n\n\n<p>By clicking the following link, you can find this paper:<\/p>\n\n\n\n<p><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0306261921012307?via%3Dihub\">https:\/\/www.sciencedirect.com\/science\/article\/abs\/pii\/S0306261921012307?via%3Dihub<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Our paper entitled \u00ab\u00a0Symbolic deep learning based prognostics for dynamic operating proton exchange membrane fuel cells\u00a0\u00bb has been published in Applied Energy. In this study, we tried to extract the fuel cell health indicator in dynamic operating conditions via the parameter identification of a degradation&amp;dynamic input-output model. In addition, we also investigate the symbolic-type deep-learning &#8230; <a title=\"Recent paper published in \u00ab\u00a0Applied Energy\u00a0\u00bb\" class=\"read-more\" href=\"https:\/\/pageperso.lis-lab.fr\/zhongliang.li\/index.php\/2021\/10\/02\/recent-paper-published-in-applied-energy\/\" aria-label=\"En savoir plus sur Recent paper published in \u00ab\u00a0Applied Energy\u00a0\u00bb\">Lire la suite<\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-51","post","type-post","status-publish","format-standard","hentry","category-non-classe"],"_links":{"self":[{"href":"https:\/\/pageperso.lis-lab.fr\/zhongliang.li\/index.php\/wp-json\/wp\/v2\/posts\/51","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pageperso.lis-lab.fr\/zhongliang.li\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/pageperso.lis-lab.fr\/zhongliang.li\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/pageperso.lis-lab.fr\/zhongliang.li\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/pageperso.lis-lab.fr\/zhongliang.li\/index.php\/wp-json\/wp\/v2\/comments?post=51"}],"version-history":[{"count":2,"href":"https:\/\/pageperso.lis-lab.fr\/zhongliang.li\/index.php\/wp-json\/wp\/v2\/posts\/51\/revisions"}],"predecessor-version":[{"id":54,"href":"https:\/\/pageperso.lis-lab.fr\/zhongliang.li\/index.php\/wp-json\/wp\/v2\/posts\/51\/revisions\/54"}],"wp:attachment":[{"href":"https:\/\/pageperso.lis-lab.fr\/zhongliang.li\/index.php\/wp-json\/wp\/v2\/media?parent=51"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/pageperso.lis-lab.fr\/zhongliang.li\/index.php\/wp-json\/wp\/v2\/categories?post=51"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/pageperso.lis-lab.fr\/zhongliang.li\/index.php\/wp-json\/wp\/v2\/tags?post=51"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}