{"id":8290,"date":"2025-05-30T16:54:25","date_gmt":"2025-05-30T16:54:25","guid":{"rendered":"https:\/\/arch.bilkent.edu.tr\/?p=8290"},"modified":"2025-05-30T16:54:25","modified_gmt":"2025-05-30T16:54:25","slug":"bridging-the-gap-how-occupancy-data-improves-urban-energy-modeling","status":"publish","type":"post","link":"https:\/\/arch.bilkent.edu.tr\/?p=8290","title":{"rendered":"Bridging the Gap: How Occupancy Data Improves Urban Energy Modeling"},"content":{"rendered":"\n<div class=\"wp-block-group has-global-padding is-layout-constrained wp-block-group-is-layout-constrained\">\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-28f84493 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"1024\" src=\"https:\/\/arch.bilkent.edu.tr\/wp-content\/uploads\/2025\/05\/orcun-koral-iseri-1024x1024.png\" alt=\"\" class=\"wp-image-8291\" style=\"aspect-ratio:0.7998046875;object-fit:contain\" srcset=\"https:\/\/arch.bilkent.edu.tr\/wp-content\/uploads\/2025\/05\/orcun-koral-iseri-1024x1024.png 1024w, https:\/\/arch.bilkent.edu.tr\/wp-content\/uploads\/2025\/05\/orcun-koral-iseri-300x300.png 300w, https:\/\/arch.bilkent.edu.tr\/wp-content\/uploads\/2025\/05\/orcun-koral-iseri-150x150.png 150w, https:\/\/arch.bilkent.edu.tr\/wp-content\/uploads\/2025\/05\/orcun-koral-iseri-768x768.png 768w, https:\/\/arch.bilkent.edu.tr\/wp-content\/uploads\/2025\/05\/orcun-koral-iseri.png 1080w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<p>Climate change necessitates reduced energy demand in buildings. Energy modeling serves as a tool for assessing climate adaptation strategies, yet its accuracy is limited by the &#8220;<em>performance gap<\/em>&#8220;\u2014the discrepancy between predicted and actual energy. This gap arises from inadequate representation of occupancy\u2014how occupants behave within residentials and consequently influence energy, such as heating and appliances. This research presents a data-driven methodology that integrates national time-use statistics with deep learning networks to generate highly refined residential occupancy models. Realistic occupancy data can improve energy model accuracy and support human-centered climate action strategies. The proposed methodology,<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>protects privacy<\/strong> by using publicly available data<\/li>\n\n\n\n<li><strong>fits any country<\/strong> that uses standardized national surveys<\/li>\n\n\n\n<li><strong>connects<\/strong> household demographics with hourly activity patterns<\/li>\n\n\n\n<li><strong>allows seamless scaling<\/strong> from residential to entire neighborhoods<\/li>\n<\/ul>\n\n\n\n<p><strong>Biography:<\/strong><\/p>\n\n\n\n<p>Or\u00e7un Koral \u0130\u015feri is a researcher specializing in building physics and the application of artificial intelligence and machine learning in sustainable urban environments. Holding a Ph.D. from Middle East Technical University (METU), his expertise lies at the intersection of architecture, computer science, and environmental sustainability.<\/p>\n\n\n\n<p>\u0130\u015feri has led several research projects focused on climate change adaptation, developing innovative energy modeling and simulation approaches for the built environment. With a strong background in programming and machine learning frameworks, he has advanced computational methods in sustainable building design, earning multiple awards and recognitions in the field.<\/p>\n\n\n\n<p>His work has been widely disseminated through peer-reviewed publications and presentations at international conferences. In addition to research, he teaches courses in environmental technologies and digital design, mentoring the next generation of scholars and practitioners.<\/p>\n\n\n\n<p>Fluent in English, Turkish, and French, \u0130\u015feri actively collaborates with international partners to develop scalable, AI-driven solutions for climate-resilient and sustainable cities.<\/p>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-sticky is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<div class=\"wp-block-group has-global-padding is-layout-constrained wp-block-group-is-layout-constrained wp-container-1 is-position-sticky\">\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-wide\"\/>\n\n\n\n<p><strong>Date:<\/strong> 13\/06\/2025 Monday<br><strong>Time:<\/strong> 13:30-14:30<br><strong>Place:<\/strong> FFB-05<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-wide\"\/>\n\n\n<div style=\"padding-top:0;padding-bottom:0;margin-top:0;margin-bottom:0\" class=\"taxonomy-category wp-block-post-terms\"><a href=\"https:\/\/arch.bilkent.edu.tr\/?cat=7\" rel=\"tag\">Lectures<\/a><span class=\"wp-block-post-terms__separator\">, <\/span><a href=\"https:\/\/arch.bilkent.edu.tr\/?cat=6\" rel=\"tag\">News &amp; Events<\/a><\/div>\n\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Climate change necessitates reduced energy demand in buildings. Energy modeling serves as a tool for assessing climate adaptation strategies, yet its accuracy is limited by the &#8220;performance gap&#8220;\u2014the discrepancy between predicted and actual energy. This gap arises from inadequate representation of occupancy\u2014how occupants behave within residentials and consequently influence energy, such as heating and appliances. [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":8291,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[7,6],"tags":[],"class_list":["post-8290","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-lectures","category-news"],"acf":[],"_links":{"self":[{"href":"https:\/\/arch.bilkent.edu.tr\/index.php?rest_route=\/wp\/v2\/posts\/8290","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/arch.bilkent.edu.tr\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/arch.bilkent.edu.tr\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/arch.bilkent.edu.tr\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/arch.bilkent.edu.tr\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=8290"}],"version-history":[{"count":2,"href":"https:\/\/arch.bilkent.edu.tr\/index.php?rest_route=\/wp\/v2\/posts\/8290\/revisions"}],"predecessor-version":[{"id":8293,"href":"https:\/\/arch.bilkent.edu.tr\/index.php?rest_route=\/wp\/v2\/posts\/8290\/revisions\/8293"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/arch.bilkent.edu.tr\/index.php?rest_route=\/wp\/v2\/media\/8291"}],"wp:attachment":[{"href":"https:\/\/arch.bilkent.edu.tr\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=8290"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/arch.bilkent.edu.tr\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=8290"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/arch.bilkent.edu.tr\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=8290"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}