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Q&A (Pr. Dominique Genoud & Jérôme Treboux)
Pr. Dominique Genoud & Jérôme Treboux, HES-SO Valais-Wallis
Monday, Nov. 15, 2021 · 10:59 a.m. · 01m 50s
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00:00:00
it ate everything was better uh at at at the case that up so questions
00:00:09
don't hold back because yes i note coffee breaks and that's coffee break very important ah yeah you
00:00:14
will have conferred anyone has its chance one question before you write enough last most people are right
00:00:21
you want me to do right uh_huh
00:00:24
okay well on question so you're not look like it ten you send
00:00:28
data collection is it well the big thing well in ten years um
00:00:33
what you mean about data collection no in general event today i just
00:00:36
mentioned you know that's one prediction productions thought as you pointed out collecting things
00:00:42
now in ten years in ten years we made the multiple loops in
00:00:47
fact sound uh we are uh now figuring out that uh our production works
00:00:53
uh but they are what they are working locally so i mean we get to correct
00:00:57
a lot of local the tassel tools that um and the the the problem the generalisation
00:01:04
and the i think it's the next challenge there is to to be able
00:01:08
to train a a more less local things that you can turn arise after that
00:01:13
and that's why we have to uh involve all this utility companies because uh they
00:01:18
they they have the potential to do that so to go from rock all that
00:01:23
you know researcher local places where you can do a very nice uh traditions too
00:01:29
something that is much simpler and much much more general some that you can and you
00:01:33
probably on on on a fountain of of households or f. large large uh a network
00:01:42
okay thank you and with this one last question so
Conference Program
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Pr. Dominique Genoud & Jérôme Treboux - Integrating machine learning and AI in practical energy applications : a review of these last 10 years activities at the Institute of Information Systems
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Dr. Marco Tognoli - Fuel-saving potential simulation and estimation when optimally predicting the supply set-point conditions of a District Heating Network with detailed system data-driven modelling
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Pr. David Wannier & Jean-Marie Allder - Research advance in Energy prediction for electrical vehicles and green mobility hotels, the results of the eVIP project
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Dr. Kavan Javanroodi - Extending the concept of energy hub to facilitate sector and spatial coupling
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Mot de bienvenue
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