{"version":"1.0","provider_name":"CESI LINEACT","provider_url":"https:\/\/lineact.cesi.fr\/en\/","author_name":"CESI LINEACT","author_url":"https:\/\/lineact.cesi.fr\/en\/","title":"Bayesian calibration of a BEM: a case study - CESI LINEACT","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"ZZCdPlYWVn\"><a href=\"https:\/\/lineact.cesi.fr\/en\/publications\/bayesian-calibration-of-a-bem-a-case-study\/\">Bayesian calibration of a BEM: a case study<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/lineact.cesi.fr\/en\/publications\/bayesian-calibration-of-a-bem-a-case-study\/embed\/#?secret=ZZCdPlYWVn\" width=\"600\" height=\"338\" title=\"&#8220;Bayesian calibration of a BEM: a case study&#8221; &#8212; CESI LINEACT\" data-secret=\"ZZCdPlYWVn\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script>\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n<\/script>\n","description":"We provide python scripts, jupyter notebooks to realize the bayesian calibration of a building energy model developped using EnergyPlus software. A dataset from an educational building located in Nanterre (France) is also provided to allow the user to reproduce the case study. For more information about the structure of the repository and please have a [&hellip;]"}