Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Marc Agenis-Nevers"'
Publikováno v:
Agenis-Nevers, M, Bokde, N, Yaseen, Z M & Kishor Shende, M 2021, ' An empirical estimation for time and memory algorithm complexities : newly developed R package ', Multimedia Tools and Applications, vol. 80, no. 2, pp. 2997-3015 . https://doi.org/10.1007/s11042-020-09471-8
This article introduces GuessCompx which is an R package that performs an empirical estimation on the time and memory complexities of an algorithm or a function. It tests multiple increasing-sizes samples of the user's data and attempts to fit one of
Autor:
Gwenaelle Becker, Yuqi Wang, Damien Chenu, Raphael Salvazet, Muriel Dugachard, Marc Agenis-Nevers
Publikováno v:
Energy and Buildings. 249:111183
In Energy Performance Contracts (EPC), savings resulting from building and energy system retrofit are estimated as the difference between the actual consumption an prediction from a baseline model. This paper proposes an automated method to select th
Autor:
Sara Tucci-Piergiovanni, Yves-Marie Batany, Mohamed Elmtiri, Marc Agenis-Nevers, Önder Gürcan, Francois Le Fevre
Publikováno v:
16th IEEE Internatonal Conference on Smart City (SmartCity-2018)
16th IEEE Internatonal Conference on Smart City (SmartCity-2018), Jun 2018, Exeter, United Kingdom
HPCC/SmartCity/DSS
16th IEEE Internatonal Conference on Smart City (SmartCity-2018), Jun 2018, Exeter, United Kingdom
HPCC/SmartCity/DSS
International audience; Energy conservation measurements in buildings are more and more popular as they benefit from an intelligent contractual framework called Energy Performance Contracts (EPC), where energy savings are measured as the difference b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b2d3435b3d96b5c4932975545e369fb5
https://hal-cea.archives-ouvertes.fr/cea-01807039/file/main.pdf
https://hal-cea.archives-ouvertes.fr/cea-01807039/file/main.pdf