{"version":"1.0","provider_name":"Apex","provider_url":"https:\/\/carleton.ca\/apex","author_name":"cuthemeedtr5","author_url":"https:\/\/carleton.ca\/apex\/author\/cuthemeedtr5\/","title":"Real-time electricity price forecasting of wind farms - Apex","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"PawyxQuJD8\"><a href=\"https:\/\/carleton.ca\/apex\/2021\/real-time-electricity-price-forecasting-of-wind-farms\/\">Real-time electricity price forecasting of wind farms<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/carleton.ca\/apex\/2021\/real-time-electricity-price-forecasting-of-wind-farms\/embed\/#?secret=PawyxQuJD8\" width=\"600\" height=\"338\" title=\"&#8220;Real-time electricity price forecasting of wind farms&#8221; &#8212; Apex\" data-secret=\"PawyxQuJD8\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script type=\"text\/javascript\">\n\/* <![CDATA[ *\/\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\/\/# sourceURL=https:\/\/carleton.ca\/apex\/wp-includes\/js\/wp-embed.min.js\n\/* ]]> *\/\n<\/script>\n","description":"The ability to forecast real-time electricity price for wind power is key to the operation of energy markets and hedging price risks. In new research published in the journal Applied Energy, Professor Kristen Schell, working with her PhD student Haolin Yang at Rensselaer Polytechnic Institute in the U.S., develop novel machine learning algorithms to boost [&hellip;]"}