Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Mathieu Schumann"'
Autor:
Merlin Keller, Guillaume Damblin, Alberto Pasanisi, Mathieu Schumann, Pierre Barbillon, Fabrizio Ruggeri, Eric Parent
Publikováno v:
Econometrics, Vol 10, Iss 4, p 34 (2022)
In this paper, we present a case study aimed at determining a billing plan that ensures customer loyalty and provides a profit for the energy company, whose point of view is taken in the paper. The energy provider promotes new contracts for residenti
Externí odkaz:
https://doaj.org/article/b8ae251bcd3d44e48138d216437981d2
Autor:
Jérémy Albouys-Perrois, Nicolas Sabouret, Yvon Haradji, Mathieu Schumann, Benoit Charrier, Christian Inard
Publikováno v:
Revue Ouverte d'Intelligence Artificielle. 3:477-499
Autor:
François Sempé, Nicolas Sabouret, Benoit Charrier, Mathieu Schumann, Quentin Reynaud, Christian Inard, Jérémy Albouys-Perrois, Yvon Haradji
Publikováno v:
Energy and Buildings
Energy and Buildings, Elsevier, 2022, 254, pp.111543. ⟨10.1016/j.enbuild.2021.111543⟩
Energy and Buildings, Elsevier, 2022, 254, pp.111543. ⟨10.1016/j.enbuild.2021.111543⟩
Collective self-consumption (CSC) is often presented as an approach for better energy management. This paper proposes a multi-agent and multi-level model to analyze the impact of CSC in the residential sector. It considers human activity as the core
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::383c08afff0d40f24ceca3733be721a0
https://hal.archives-ouvertes.fr/hal-03505248
https://hal.archives-ouvertes.fr/hal-03505248
Publikováno v:
Building Simulation Conference Proceedings.
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783030821920
IntelliSys (1)
IntelliSys (1)
The Internet of Things (IoT) has been a prominent application for Intelligent Systems in recent years. While the increasing demand for explanations led to many advances in Explainable Artificial Intelligence (XAI), most solutions focus on systems whe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::323c0e93f445b59da37bf0c83483758a
https://doi.org/10.1007/978-3-030-82193-7_48
https://doi.org/10.1007/978-3-030-82193-7_48
Publikováno v:
2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C)
2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C), Aug 2020, Washington, France. pp.115-120, ⟨10.1109/ACSOS-C51401.2020.00041⟩
ACSOS Companion
2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C), Aug 2020, Washington, France. pp.115-120, ⟨10.1109/ACSOS-C51401.2020.00041⟩
ACSOS Companion
While Explanatory AI (XAI) is attracting increasing interest from academic research, most AI-based solutions still rely on black box methods. This is unsuitable for certain domains, such as smart homes, where transparency is key to gaining user trust
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::830349c041f4c9b2a0be53e3d60ed840
https://hal.archives-ouvertes.fr/hal-02963566
https://hal.archives-ouvertes.fr/hal-02963566
Publikováno v:
Building Simulation Conference proceedings.
We present a framework and a model for the simulation of collective energy self-consumption strongly coupled to occupant activity in households. The model combines multi-agent simulation of human activity, a dynamic model of building energy including
Autor:
Merlin Keller, Guillaume Damblin, Alberto Pasanisi, Mathieu Schumann, Pierre Barbillon, Fabrizio Ruggeri, Eric Parent
Publikováno v:
Econometrics; Volume 10; Issue 4; Pages: 34
In this paper, we propose a practical Bayesian framework for the calibration and validation of a computer code, and apply it to a case study concerning the energy consumption forecasting of a building. Validation allows to quantify forecasting uncert
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::abaf2c1a6f0e11147aabfcc79799fdb8
Publikováno v:
Journal of Building Performance Simulation
Journal of Building Performance Simulation, Taylor & Francis, 2015, pp.210-225. ⟨10.1080/19401493.2015.1030862⟩
Journal of Building Performance Simulation, Taylor & Francis, 2015, pp.210-225. ⟨10.1080/19401493.2015.1030862⟩
International audience; The decrease in heat demand in low energy buildings and the development of new heating, ventilation and air conditioning systems call for a re-examination of the usual modelling approaches in building simulation. A comparison
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33792f157d722213ac3fadca4ff205a8
https://hal-mines-paristech.archives-ouvertes.fr/hal-01461544
https://hal-mines-paristech.archives-ouvertes.fr/hal-01461544
Publikováno v:
Building Simulation Conference Proceedings.