Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Grossouvre, Marc"'
Publikováno v:
In Energy and AI May 2024 16
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Publikováno v:
54es Journées de Statistique la Société Française de Statistique (SFdS)
54es Journées de Statistique la Société Française de Statistique (SFdS), Jul 2023, Bruxelles, Belgium
54es Journées de Statistique la Société Française de Statistique (SFdS), Jul 2023, Bruxelles, Belgium
International audience; Planning the energy transition requires decision makers to have an in-depth knowledge about a given territory. To achieve this, data is collected from multiple sources, at multiple scales, with constraints such as privacy poli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::782087bfd8e6161bfb989906a8ddb273
https://hal-emse.ccsd.cnrs.fr/emse-04158342/document
https://hal-emse.ccsd.cnrs.fr/emse-04158342/document
Autor:
Grossouvre, Marc
Présentation du modèle de prédiction des DPE à l'adresse actuellement utilisé dans l'entreprise U.R.B.S.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______166::3e40ff8c02cf774b920092440212ddc0
https://hal.science/hal-03945529
https://hal.science/hal-03945529
This paper deals with three related problems in a geostatistical context. First, some data are available for given areas of the space rather than for some point locations which creates problems of multiscale areal data. Second, some uncertainties rel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ef8321ac761ebfa4d4eb3d0926f9007e
https://hal.science/hal-03276127v3/document
https://hal.science/hal-03276127v3/document
Autor:
Grossouvre, Marc, Rullière, Didier
This work deals with three related problems in a geostatistical context. • Some data are available for given areas of the space, rather than for some specific locations, that's granular data. • Data uncertainty rely both on the input locations an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______166::0e3d93fd933853b5275947fbd0d57d74
https://hal.science/hal-03762854
https://hal.science/hal-03762854
Autor:
Grossouvre, Marc, Rullière, Didier
Publikováno v:
MASCOT-NUM 2022
MASCOT-NUM 2022, Jun 2022, Clermont-Ferrand, France
MASCOT-NUM 2022, Jun 2022, Clermont-Ferrand, France
This paper deals with three related problems in a geostatistical context. First, some data are available for given areas of the space rather than for some point locations which creates problems of multiscale areal data. Second, some uncertainties rel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::d1b3d087964880a968929e511f331755
https://hal.archives-ouvertes.fr/hal-03276127/document
https://hal.archives-ouvertes.fr/hal-03276127/document
Publikováno v:
In Science Talks December 2023 8