{"id":5472,"date":"2026-04-09T13:51:49","date_gmt":"2026-04-09T11:51:49","guid":{"rendered":"https:\/\/www.digitlab.kth.se\/?post_type=tribe_events&p=5472"},"modified":"2026-04-28T06:57:35","modified_gmt":"2026-04-28T04:57:35","slug":"open-lecture-cognitive-digital-twins-for-decarbonization","status":"publish","type":"tribe_events","link":"https:\/\/www.digitlab.kth.se\/sv\/event\/open-lecture-cognitive-digital-twins-for-decarbonization\/","title":{"rendered":"Open lecture: Cognitive Digital Twins for Decarbonization"},"content":{"rendered":"
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Jenn McArthur, Professor at Toronto Metropolitan University within Smart and Sustainable Building Technologies, gives an open lecture at Dig-IT Lab on the topic of Cognitive Digital Twins for Decarbonization.<\/p>\n\n\n\n

This presentation highlights the key steps needed to create the first known proof-of-concept CDT for a real-world building, the Daphne Cockwell Complex at Toronto Metropolitan University (TMU) and how it is being used to support decarbonization efforts at TMU. The CDT development to date will be presented, describing the approaches and algorithms used, results achieved, and lessons learned. Topics covered will include the integrated data model and supporting ontology; building automation system data acquisition and streaming; data lake; event detection algorithms; integration, and visualization.<\/p>\n\n\n\n

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\"Jenn<\/figure>\n\n\n\n

Researcher Bio:<\/strong>
Jenn McArthur is a Professor in Architectural Science at Toronto Metropolitan University, the Associate Chair for Project Management in the Built Environment, and the Director of the Smart Campus Integration & Testing Hub (SCITHub), a living laboratory for digital twins, smart building analytics, and low-carbon operations. Her research integrates Cognitive (AI-integrated) Digital Twins, Smart & Ongoing Commissioning, real estate management \/IEQ perspectives, and AI-enabled performance monitoring to improve the energy, carbon, and operational outcomes of complex buildings. Through partnerships with municipalities, utilities, and infrastructure owners, this work has translated real-time building data into decision-grade intelligence that supports operational energy savings, electrification, and net-zero retrofit strategies at portfolio and city scales.<\/p>\n<\/div>\n<\/div>\n\n\n\n

Photos: Toronto Metropolitan University.<\/sub><\/em><\/p>\n\n\n\n\n\n\n\n\n\t

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