{"id":1917,"date":"2019-05-07T15:17:42","date_gmt":"2019-05-07T19:17:42","guid":{"rendered":"http:\/\/engeletrica.draconis.ufms.br\/?p=1917"},"modified":"2019-05-07T15:18:08","modified_gmt":"2019-05-07T19:18:08","slug":"palestra-machine-learning-in-building-hvac-control-and-demand-response","status":"publish","type":"post","link":"https:\/\/engeletrica-faeng.ufms.br\/en\/palestra-machine-learning-in-building-hvac-control-and-demand-response\/","title":{"rendered":"Palestra Machine Learning in Building HVAC Control and Demand Response"},"content":{"rendered":"<p>Uma palestra com o ex-acad\u00eamico do curso de Engenharia El\u00e9trica da UFMS\u00a0 Emilio Tanowe de\u00a0tema: Controle de sistemas de condicionamento clim\u00e1tico usando\u00a0<em>Machine Learning,\u00a0<\/em>ser\u00e1 apresentada nesta quinta-feira, dia 09 de maio no audit\u00f3rio do curso de Arquitetura e Urbanismo da Faculdade de Engenharias, Arquitetura e Urbanismo e Geografia da Universidade Federal de Mato grosso do Sul.<\/p>\n<blockquote><p>Title: \u201cMachine Learning in Building HVAC Control and Demand Response\u201d<\/p>\n<p>Abstract: Electrical grids are undergoing a substantial change in recent years. The classical picture of consumer centres being passive agents in the network merely receiving the demanded energy from large generators has become outdated. Nowadays special consumers can help stabilize the network by dynamically adjusting their demands in accordance to directives given by the grid operator. The high energy consumption profile of office buildings associated with their heating, ventilation and air-conditioning (HVAC) systems make them particularly suitable for such task. In this talk we will briefly explore how machine learning methods in combination with model predictive control (MPC) are being used to tackle these problems.<\/p><\/blockquote>\n","protected":false},"excerpt":{"rendered":"<p>Uma palestra com o ex-acad\u00eamico do curso de Engenharia El\u00e9trica da UFMS\u00a0 Emilio Tanowe de\u00a0tema: Controle de sistemas de condicionamento clim\u00e1tico usando\u00a0Machine Learning,\u00a0ser\u00e1 apresentada nesta quinta-feira, dia 09 de maio no audit\u00f3rio do curso de Arquitetura e Urbanismo da Faculdade de Engenharias, Arquitetura e Urbanismo e Geografia da Universidade Federal de Mato grosso do Sul. [&hellip;]<\/p>\n","protected":false},"author":1500,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"coauthors":[],"class_list":["post-1917","post","type-post","status-publish","format-standard","hentry","category-noticias"],"_links":{"self":[{"href":"https:\/\/engeletrica-faeng.ufms.br\/en\/wp-json\/wp\/v2\/posts\/1917","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/engeletrica-faeng.ufms.br\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/engeletrica-faeng.ufms.br\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/engeletrica-faeng.ufms.br\/en\/wp-json\/wp\/v2\/users\/1500"}],"replies":[{"embeddable":true,"href":"https:\/\/engeletrica-faeng.ufms.br\/en\/wp-json\/wp\/v2\/comments?post=1917"}],"version-history":[{"count":1,"href":"https:\/\/engeletrica-faeng.ufms.br\/en\/wp-json\/wp\/v2\/posts\/1917\/revisions"}],"predecessor-version":[{"id":1918,"href":"https:\/\/engeletrica-faeng.ufms.br\/en\/wp-json\/wp\/v2\/posts\/1917\/revisions\/1918"}],"wp:attachment":[{"href":"https:\/\/engeletrica-faeng.ufms.br\/en\/wp-json\/wp\/v2\/media?parent=1917"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/engeletrica-faeng.ufms.br\/en\/wp-json\/wp\/v2\/categories?post=1917"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/engeletrica-faeng.ufms.br\/en\/wp-json\/wp\/v2\/tags?post=1917"},{"taxonomy":"author","embeddable":true,"href":"https:\/\/engeletrica-faeng.ufms.br\/en\/wp-json\/wp\/v2\/coauthors?post=1917"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}