{"id":7017,"date":"2023-11-08T14:32:09","date_gmt":"2023-11-08T19:32:09","guid":{"rendered":"https:\/\/gridd.etsmtl.ca\/projets\/data-driven-art-to-improve-sustainable-occupant-behavior\/"},"modified":"2024-10-03T15:23:44","modified_gmt":"2024-10-03T19:23:44","slug":"data-driven-art-to-improve-sustainable-occupant-behavior","status":"publish","type":"gridd","link":"https:\/\/gridd.etsmtl.ca\/en\/projets\/data-driven-art-to-improve-sustainable-occupant-behavior\/","title":{"rendered":"Data-driven art to improve sustainable occupant behavior"},"featured_media":7704,"parent":0,"template":"","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}}},"partenaires-tag":[],"niveau-de-recherche":[856],"nouvelle-tag":[],"professeurs-tag":[779],"tags-de-recherche":[841,756,819,767,757],"type-de-recherche":[783],"categories-de-recherche":[704],"class_list":["post-7017","gridd","type-gridd","status-publish","has-post-thumbnail","hentry","niveau-de-recherche-m-a-sc","professeurs-tag-ivanka-iordanova-en-tag","tags-de-recherche-computer-vision-tag","tags-de-recherche-data-analytics-tag","tags-de-recherche-parametric-design-tag","tags-de-recherche-sustainability-tag","tags-de-recherche-visual-analytics-tag","type-de-recherche-project-type","categories-de-recherche-sustainable-development-category"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.5 - 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This involves not just gathering comprehensive data about energy use and other environmental indicators but also interpreting this data in meaningful ways. This research aims to address this challenge by introducing an innovative approach based on deep generative models. This approach utilizes water and electricity data as an example of a dataset we can gather to generate data-driven visual representations. The primary aim of this study is to inspire building occupants to embrace sustainable lifestyles and eco-friendly choices by presenting data in an artistic format. Second, to leverage data inference to gather building data to determine building occupancy patterns in various sections. Initial steps involve collecting data on water and electricity consumption, followed by a meticulous data inference process to construct a descriptive analysis that unravels fundamental energy consumption characteristics. Concurrently, a deep neural network is trained to infer occupancy. 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