{"id":11801,"date":"2020-06-16T10:40:47","date_gmt":"2020-06-16T14:40:47","guid":{"rendered":"https:\/\/www.comtechadvisory.com\/?p=11801"},"modified":"2020-08-06T09:10:21","modified_gmt":"2020-08-06T13:10:21","slug":"ctrmradio-edition-15-improved-energy-demand-forecasting-using-deep-learning-technology","status":"publish","type":"post","link":"https:\/\/www.comtechadvisory.com\/multimedia\/podcast\/ctrmradio-edition-15-improved-energy-demand-forecasting-using-deep-learning-technology\/","title":{"rendered":"CTRMRadio Edition 15 &#8211; Improved energy demand forecasting using Deep Learning Technology"},"content":{"rendered":"<p>In this episode of CTRMRadio, we examine a real world use of artificial intelligence (more specifically deep learning) in the energy trading markets.  We visit with two experts from Enverus &#8211; Don Davidson, Sr. Director of Development &#038; Architecture and Rob Allerman, Sr. Director of Power Analytics \u2013 to learn how deep learning tools are improving that company\u2019s ability to more accurately forecast energy demand even as covid-19 causes significant disruptions across the energy complex.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this episode of CTRMRadio, we examine a real world use of artificial intelligence (more specifically deep learning) in the energy trading markets. We visit with two experts from Enverus &#8211; Don Davidson, Sr. Director of Development &#038; Architecture and Rob Allerman, Sr. Director of Power Analytics \u2013 to learn how deep learning tools are improving that company\u2019s ability to more accurately forecast energy demand even as covid-19 causes significant disruptions across the energy complex.<\/p>\n","protected":false},"author":2,"featured_media":11829,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[23],"tags":[],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v22.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>CTRMRadio Edition 15 - Improved energy demand forecasting using Deep Learning Technology | Commodity Technology Advisory<\/title>\n<meta name=\"description\" content=\"In this episode of CTRMRadio, we examine a real world use of artificial intelligence (more specifically deep learning) in the energy trading markets. We\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.comtechadvisory.com\/multimedia\/podcast\/ctrmradio-edition-15-improved-energy-demand-forecasting-using-deep-learning-technology\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"CTRMRadio Edition 15 - Improved energy demand forecasting using Deep Learning Technology | Commodity Technology Advisory\" \/>\n<meta property=\"og:description\" content=\"In this episode of CTRMRadio, we examine a real world use of artificial intelligence (more specifically deep learning) in the energy trading markets. 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