Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Jean-Simon Venne"'
Autor:
Fatma Mtibaa, Kim-Khoa Nguyen, Vasken Dermardiros, Scott McDonald, Jean-Simon Venne, Mohamed Cheriet
Publikováno v:
Journal of Building Engineering. 68:106204
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7dce945df2c2669d1286bb8aeb2f7aff
https://doi.org/10.1016/j.jobe.2023.106204
https://doi.org/10.1016/j.jobe.2023.106204
Autor:
Mohamed Cheriet, Muhammad Azam, Fatma Mtibaa, Anastasios Papachristou, Kim Khoa Nguyen, Jean-Simon Venne
Publikováno v:
Neural Computing and Applications. 32:17569-17585
Accurate indoor air temperature (IAT) predictions for heating, ventilation, and air conditioning (HVAC) systems are challenging, especially for multi-zone building and for different HVAC system types. Moreover, the nonlinearity of the buildings therm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b9ea278fc71ef49d25f7e977253b598
https://doi.org/10.1007/s00521-020-04926-3
https://doi.org/10.1007/s00521-020-04926-3
Publikováno v:
Building Simulation. 14:165-178
Thermal models of buildings are helpful to forecast their energy use and to enhance the control of their mechanical systems. However, these models are building-specific and require a tedious, error-prone and time-consuming development effort relying
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b814121512c67343964b46d87e6fb6b
https://doi.org/10.1007/s12273-019-0597-2
https://doi.org/10.1007/s12273-019-0597-2
Autor:
Andrew Glaws, Dylan Cutler, Jean-Simon Venne, Stephen Frank, Sakshi Mishra, Farzam Mohammadi, Muhammad Azam
This article presents a Unified Architecture for automated point tagging of Building Automation System data, based on a combination of data-driven approaches. Advanced energy analytics applications-including fault detection and diagnostics and superv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4eee6af5084015f7a2b246203322e372
http://arxiv.org/abs/2003.07690
http://arxiv.org/abs/2003.07690
Publikováno v:
GlobalSIP
WiFi signals have tendency of getting disturbed by the motion of occupants and other movements in a zone. If we measure the level of this variation, it can represent the human activity in that zone. In this paper, we have proposed estimation of the o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28b8c5b7a13e665ce15db41ff265bb17
https://doi.org/10.1109/globalsip45357.2019.8969297
https://doi.org/10.1109/globalsip45357.2019.8969297