BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:Fusing Pre-existing Knowledge and Machine Learning for Enhanced Bu
 ilding Thermal Modeling and Control
DTSTART:20240223T170000
DTSTAMP:20260407T064443Z
UID:e74d703c6701b70f3bcec77055d8dd31a195aaa99f6be6f501e10648
CATEGORIES:Thesis defenses
DESCRIPTION:Loris DI NATALE\nThesis Directors: Prof. C. N. Jones\, Dr B. S
 vetozarevic\nElectrical Engineering doctoral program\nThesis Nr. 10623\n\
 nTo take part in the public defense\, please contact directly the speaker
LOCATION:ME B3 31 https://plan.epfl.ch/?room==ME%20B3%2031
STATUS:CONFIRMED
END:VEVENT
END:VCALENDAR