BEGIN:VCALENDAR PRODID:-//eluceo/ical//2.0/EN VERSION:2.0 CALSCALE:GREGORIAN METHOD:PUBLISH BEGIN:VEVENT UID:225eb2954ccc00709f5a998a96d4e933@kubr.nl DTSTAMP:20261024T064141Z SUMMARY:Give brains to energy buildings systems: Smart Monitoring\, Managem ent & Control DESCRIPTION:A large amount of data is gathered through Building Energy Mana gement Systems. The big challenge is to utilize these data in a smart way to minimize the energy use in buildings and maximize comfort and air quali ty. This symposium is about exchanging knowledge and views on how Machine Leaning (ML) can contribute to this. What are the major research challeng es in applying ML in the building sector? Should it be combined with more traditional approaches? And we will discuss what is needed to create matur e solutions for large scale deployment of data-driven energy and comfort m anagement. Apply here: https://www.tudelft.nl/tu-delft-urban-energy/newsev ents/symposium-smart-buildings/ URL:https://kubr.nl/app.php/kalender/activiteit/106-give-brains-to-energy-b uildings-systems-smart-monitoring-management-control DTSTART:20200207T083000Z DTEND:20200207T130000Z LOCATION:TU DELFT ORGANIZER:mailto:no-reply@kubr.nl SEQUENCE:45 X-ALT-DESC;FMTTYPE=text/html:

A large amount of data is gathered through Building Energy Management Systems. The big challenge is to utilize these data in a smart way to minimize the energy use in buildings and maximize c omfort and air quality. This symposium \;is about exchanging knowledge and views on how Machine Leaning (ML) can contribute to this. What are th e major research challenges in applying ML in the building sector? Should it be combined with more traditional approaches? And we will discuss what is needed to create mature solutions for large scale deployment of data-dr iven energy and comfort management. Apply here: https:/ /www.tudelft.nl/tu-delft-urban-energy/newsevents/symposium-smart-buildings /

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