Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Pascal Pompey"'
Autor:
Don Tougas, Bei Chen, Francesco Fusco, Mathieu Sinn, Vincent P. A. Lonij, Jean-Baptiste Fiot, Pascal Pompey, Yiannis Gkoufas, Allen Stamp, Mary Coombs
Publikováno v:
2016 IEEE Power and Energy Society General Meeting (PESGM).
Managing a reliable, renewable, and affordable power grid is a challenging task because the mix of power generating and consuming devices connected to the network continues to change. Improved forecasts help network operators respond to these changes
Publikováno v:
Modeling and Stochastic Learning for Forecasting in High Dimensions ISBN: 9783319187310
The emergence of Smart Grids is posing a wide range of challenges for electric utility companies and network operators: Integration of non-dispatchable power from renewable energy sources (e.g., photovoltaics, hydro and wind), fundamental changes in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e08554ed421d01c9d361c14686160268
https://doi.org/10.1007/978-3-319-18732-7_11
https://doi.org/10.1007/978-3-319-18732-7_11
Autor:
Eric Bouillet, Olivier Verscheure, Alice Marascu, Pascal Pompey, Philippe Cudré-Mauroux, Martin Grund, Michael Wurst
Publikováno v:
BigData Conference
Large-scale critical infrastructures such as transportation, energy, or water distribution networks are increasingly equipped with smart sensor technologies. Low-latency analytics on the resulting times series would open the door to many exciting opp
Autor:
Philippe Cudré-Mauroux, Martin Grund, Eric Bouillet, Alice Marascu, Pascal Pompey, Michael Wurst, Olivier Verscheure
Publikováno v:
BigData Conference
Smart sensors are increasingly being used to manage and monitor critical urban infrastructures, e.g., for telecommunication, transport, water, or energy networks, as well as for healthcare or smart buildings. Sensor-based monitoring systems offer way
Publikováno v:
ITSC
In this paper we propose and study the performances of a bus travel times prediction model using real bus location data from the city of Dublin. The proposed prediction model uses a modified version of the K-Nearest Neighbors algorithm, KNN, algorith
Publikováno v:
International Journal of Computer Assisted Radiology and Surgery, 6 (3), 387--399
Purpose: Tracking of beating heart motion in a robotic surgery system is required for complex cardiovascular interventions. Methods: A heart surface motion tracking method is developed, including a stochastic physics-based heart surface model and an
Autor:
Pascal Pompey Pirone
Publikováno v:
Soil Science. 52:84