Zobrazeno 1 - 3
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pro vyhledávání: '"Nozière, Gilles"'
Publikováno v:
Energy and Buildings, Elsevier, 2021
In this paper, we propose a new end-to-end methodology to optimize the energy performance as well as comfort and air quality in large buildings without any renovation work. We introduce a metamodel based on recurrent neural networks and trained to pr
Externí odkaz:
http://arxiv.org/abs/2105.02814
In this paper, we propose a new end-to-end methodology to optimize the energy performance and the comfort, air quality and hygiene of large buildings. A metamodel based on a Transformer network is introduced and trained using a dataset sampled with a
Externí odkaz:
http://arxiv.org/abs/2006.12390
Autor:
Noziere, Gilles
Th.--Ingéniérie et gest.--Paris--Ecole nationale supérieure des mines, 1987.
Externí odkaz:
http://catalogue.bnf.fr/ark:/12148/cb37608448d