{"id":300,"date":"2024-08-22T12:43:27","date_gmt":"2024-08-22T02:43:27","guid":{"rendered":"https:\/\/wp.csiro.au\/rtcml25\/?p=300"},"modified":"2024-08-29T09:19:41","modified_gmt":"2024-08-28T23:19:41","slug":"managing-unpredictable-renewable-energy-sources","status":"publish","type":"post","link":"https:\/\/wp.csiro.au\/rtcml25\/managing-unpredictable-renewable-energy-sources\/","title":{"rendered":"Managing Unpredictable Renewable Energy Sources"},"content":{"rendered":"\n

In the electricity sector, machine learning can enhance how energy is distributed and used in the grid. As more\u00a0<\/span>renewable energy sources<\/span><\/a>\u00a0are added, utilities need better ways to predict energy needs in real-time and in the future.<\/strong>\u00a0<\/span>\u00a0<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"

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<\/p>\n","protected":false},"author":198,"featured_media":306,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"link","meta":{"nba-redirect":"","footnotes":""},"categories":[8],"tags":[16],"class_list":["post-300","post","type-post","status-publish","format-link","has-post-thumbnail","hentry","category-domain-examples","tag-energy-sector","post_format-post-format-link"],"yoast_head":"\nRTCML<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/wp.csiro.au\/rtcml25\/managing-unpredictable-renewable-energy-sources\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Managing Unpredictable Renewable Energy Sources - RTCML\" \/>\n<meta property=\"og:description\" content=\"In the electricity sector, machine learning can enhance how energy is distributed and used in the grid. 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