{"id":87501,"date":"2019-02-06T14:42:36","date_gmt":"2019-02-06T22:42:36","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2019\/02\/to-conserve-energy-ai-clears-up-cloudy-forecasts"},"modified":"2019-02-06T14:42:36","modified_gmt":"2019-02-06T22:42:36","slug":"to-conserve-energy-ai-clears-up-cloudy-forecasts","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2019\/02\/to-conserve-energy-ai-clears-up-cloudy-forecasts","title":{"rendered":"To conserve energy, AI clears up cloudy forecasts"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/to-conserve-energy-ai-clears-up-cloudy-forecasts2.jpg\"><\/a><\/p>\n<p>If the forecast calls for rain, you\u2019ll probably pack an umbrella. If it calls for cold, you may bring your mittens. That same kind of preparation happens in buildings, where sophisticated heating and cooling systems adjust themselves based on the predicted weather.<\/p>\n<p>But when the forecast is imperfect\u2014as it often is\u2014buildings can end up wasting <a href=\"https:\/\/techxplore.com\/tags\/energy\/\" rel=\"tag\" class=\"\">energy<\/a>, just as we may find ourselves wet, cold or burdened with extra layers we don\u2019t need.<\/p>\n<p>A new approach developed by Fengqi You, professor in <a href=\"https:\/\/techxplore.com\/tags\/energy+systems\/\" rel=\"tag\" class=\"\">energy systems<\/a> engineering at Cornell University, predicts the accuracy of the <a href=\"https:\/\/techxplore.com\/tags\/weather\/\" rel=\"tag\" class=\"\">weather<\/a> forecast using a machine learning model trained with years\u2019 worth of data on forecasts and actual weather conditions. You combined that predictor with a <a href=\"https:\/\/techxplore.com\/tags\/mathematical+model\/\" rel=\"tag\" class=\"\">mathematical model<\/a> that considers <a href=\"https:\/\/techxplore.com\/tags\/building\/\" rel=\"tag\" class=\"\">building<\/a> characteristics including the size and shape of rooms, the construction materials, the location of sensors and the position of windows.<\/p>\n<p><!-- Link: <a href=\"https:\/\/techxplore.com\/news\/2019-02-energy-ai-cloudy.html\">https:\/\/techxplore.com\/news\/2019&#45;02-energy-ai-cloudy.html<\/a> --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>If the forecast calls for rain, you\u2019ll probably pack an umbrella. If it calls for cold, you may bring your mittens. That same kind of preparation happens in buildings, where sophisticated heating and cooling systems adjust themselves based on the predicted weather. But when the forecast is imperfect\u2014as it often is\u2014buildings can end up wasting [\u2026]<\/p>\n","protected":false},"author":513,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2229,6],"tags":[],"class_list":["post-87501","post","type-post","status-publish","format-standard","hentry","category-mathematics","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/87501","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/513"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=87501"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/87501\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=87501"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=87501"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=87501"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}