{"id":8058,"date":"2025-11-03T07:02:30","date_gmt":"2025-11-03T07:02:30","guid":{"rendered":"https:\/\/mailitics.com\/index.php\/2025\/11\/03\/from-classical-models-to-ai-forecasting-humidity-for-energy-and-water-efficiency-in-data-centers-2\/"},"modified":"2025-11-03T07:02:30","modified_gmt":"2025-11-03T07:02:30","slug":"from-classical-models-to-ai-forecasting-humidity-for-energy-and-water-efficiency-in-data-centers-2","status":"publish","type":"post","link":"https:\/\/mailitics.com\/index.php\/2025\/11\/03\/from-classical-models-to-ai-forecasting-humidity-for-energy-and-water-efficiency-in-data-centers-2\/","title":{"rendered":"From Classical Models to AI: Forecasting Humidity for Energy and Water Efficiency in Data Centers"},"content":{"rendered":"<p>    From Classical Models to AI: Forecasting Humidity for Energy and Water Efficiency in Data Centers<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n    <!-- no image --><br \/>\n \t<BR><br \/>\n<BR><\/BR><\/p>\n<div>\n<p>From ARIMA to N-BEATS: Comparing forecasting approaches that balance accuracy, interpretability, and sustainability<\/p>\n<p>The post <a href=\"https:\/\/towardsdatascience.com\/from-classical-models-to-ai-forecasting-humidity-for-energy-and-water-efficiency-in-data-centers-2\/\">From Classical Models to AI: Forecasting Humidity for Energy and Water Efficiency in Data Centers<\/a> appeared first on <a href=\"https:\/\/towardsdatascience.com\/\">Towards Data Science<\/a>.<\/p>\n<\/div>\n<p> \t<BR><br \/>\n <BR><\/BR><br \/>\n    Dr. Theophano Mitsa<br \/>\n \t<BR><br \/>\n<BR><\/BR><br \/>\n<a href=\"https:\/\/towardsdatascience.com\/from-classical-models-to-ai-forecasting-humidity-for-energy-and-water-efficiency-in-data-centers-2\/\">Go to original source<\/a><br \/>\n \t<BR><br \/>\n <BR><\/BR><\/p>\n","protected":false},"excerpt":{"rendered":"<p>From Classical Models to AI: Forecasting Humidity for Energy and Water Efficiency in Data Centers From ARIMA to N-BEATS: Comparing forecasting approaches that balance accuracy, interpretability, and sustainability The post From Classical Models to AI: Forecasting Humidity for Energy and Water Efficiency in Data Centers appeared first on Towards Data Science. Dr. Theophano Mitsa Go [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[62,83,88,240,70,157,353],"tags":[3955,84,355],"class_list":["post-8058","post","type-post","status-publish","format-standard","hentry","category-aimldsaimlds","category-data-science","category-deep-learning","category-editors-pick","category-machine-learning","category-python","category-time-series-forecasting","tag-classical","tag-data","tag-forecasting"],"_links":{"self":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/8058"}],"collection":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/comments?post=8058"}],"version-history":[{"count":0,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/posts\/8058\/revisions"}],"wp:attachment":[{"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/media?parent=8058"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/categories?post=8058"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mailitics.com\/index.php\/wp-json\/wp\/v2\/tags?post=8058"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}