{"version":"1.0","provider_name":"RTCML","provider_url":"https:\/\/wp.csiro.au\/rtcml25","title":"Managing Unpredictable Renewable Energy Sources - RTCML","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"e6fPDedHjr\"><a href=\"https:\/\/wp.csiro.au\/rtcml25\/managing-unpredictable-renewable-energy-sources\/\">Managing Unpredictable Renewable Energy Sources<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/wp.csiro.au\/rtcml25\/managing-unpredictable-renewable-energy-sources\/embed\/#?secret=e6fPDedHjr\" width=\"600\" height=\"338\" title=\"&#8220;Managing Unpredictable Renewable Energy Sources&#8221; &#8212; RTCML\" data-secret=\"e6fPDedHjr\" 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\/\/# sourceURL=https:\/\/wp.csiro.au\/rtcml25\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","thumbnail_url":"https:\/\/wp.csiro.au\/rtcml25\/files\/2024\/08\/Energy1.png","thumbnail_width":838,"thumbnail_height":675,"description":"In the electricity sector, machine learning can enhance how energy is distributed and used in the grid. As more\u00a0renewable energy sources\u00a0are added, utilities need better ways to predict energy needs in real-time and in the future.\u00a0\u00a0"}