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Q&A
Roberto Boghetti, University of Pisa, IT
Tuesday, May 7, 2019 · 11:05 a.m. · 05m 03s
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00:00:00
what
00:00:07
sure i'm going for a first it's u. e. r. h. b. o.
00:00:19
uh_huh well you mean we d. in a physics bayes the softer ah them uh
00:00:26
uh it's not really a choice i'm gonna do it but i still have to do it if that's the reason
00:00:34
'cause uh i think a lot of feelings means the tram very long time for um
00:00:41
put the simulation a running yoshi a scene was asking for three
00:00:47
months or so it was really a lot they had to divide the
00:00:51
um the city for tuning in a different is
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more their ass and calculate every every yeah so
00:00:59
to the mid time consuming and uh considering both so the uh
00:01:08
uh this tuning was too much for for the first phase but i will do it
00:01:15
or or or or or does it yeah where we are for it yeah
00:01:29
yeah well when i actually uh and that uh that was one
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to seven was the mean a performance improvement the mean every improvement uh
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in some cases i had the first single building like twenty five percent of improvement i think it's a lot
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especially building that had like a really a lot of fair or uh uh in the in the forecast
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yeah age
00:02:08
okay uh i don't know why it's not working but so one that's is uh it was a scatter plot between
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the in measured uh and and the melody and the
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measured consumption on the x. x. is and the t. v.
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um calculated one uh in longer off a guiding the artificial intelligence
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and the other for the uh his gun these model on the way
00:02:50
yeah well yeah okay
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think well that's because um and there is a lot of
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research about this so called the performance yep so we know that
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the magnitude of these performance gap could be in that in those ranges it's normal when your with
00:03:12
this kind of simulations and um so it just compared to to the litter to we can say
00:03:28
yeah you're right
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right yeah
00:03:49
okay well i yeah well um
00:03:58
for some parking meters i use i've used to some research is the were made before mean a special
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for switzerland and tuning we had a lot of research
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is on the most common uh was diets or um
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in addition rates so it's basically assumptions uh i agree with affected i should
00:04:20
do a good then out of the artificial intelligence 'cause we wanted assumptions free
00:04:27
but uh for now i was helping the
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position of the model mm because especially d.
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we some well no uh right assumptions uh so for now they are there but
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that there is still a lot to do and a lot to improve uh it's a ah
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complex field we can do a lot of things
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we also have to factor whether
00:04:55
the open future are so low things it to them
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