Zobrazeno 1 - 10
of 64
pro vyhledávání: '"Luc Dufour"'
Autor:
Antonio J. Jara, Luc Dufour, Gianluca Rizzo, Marcin Piotr Pawlowski, Dominique Genoud, Alexandre Cotting, Yann Bocchi, Francois Chabbey
Microgrids present the challenge to reach a proper balance between local production and consumption, in order to reduce the usage of energy from external sources. This work presents a data-intensive solution to predict the energy behaviors. Thereby,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::447207d0edd0620573030c086c8dbed4
https://doi.org/10.4018/978-1-5225-9866-4.ch032
https://doi.org/10.4018/978-1-5225-9866-4.ch032
Autor:
Francois Chabbey, Antonio J. Jara, Gianluca Rizzo, Dominique Genoud, Marcin Piotr Pawlowski, Luc Dufour, Alexandre Cotting, Yann Bocchi
Publikováno v:
International Journal of Data Warehousing and Mining. 12:39-61
Microgrids present the challenge to reach a proper balance between local production and consumption, in order to reduce the usage of energy from external sources. This work presents a data-intensive solution to predict the energy behaviors. Thereby,
Autor:
Dominique Genoud, Antonio F. Skarmeta, Bruno Ladevie, Jean-Jacques Bezian, Antonio J. Jara, Luc Dufour, M. Victoria Moreno
Publikováno v:
Soft Computing
Soft Computing, Springer Verlag, 2016, 20 (5), p. 1749-1762. ⟨10.1007/s00500-015-1679-4⟩
Soft Computing, Springer Verlag, 2016, 20 (5), p. 1749-1762. ⟨10.1007/s00500-015-1679-4⟩
International audience; Due to the high impact that energy consumption by buildings has at global scale, energy-efficient buildings to reduce emissions and energy consumption are needed. In this work we present a novel approach to energy saving in bu
Publikováno v:
IEEE AINA-30th International Conference on Advanced Information Networking and Applications-WORKSHOPS (WAINA 2016)
IEEE AINA-30th International Conference on Advanced Information Networking and Applications-WORKSHOPS (WAINA 2016), Mar 2016, Crans-Montana, Switzerland. art. 7471304-p. 821-826, ⟨10.1109/WAINA.2016.173⟩
AINA Workshops
IEEE AINA-30th International Conference on Advanced Information Networking and Applications-WORKSHOPS (WAINA 2016), Mar 2016, Crans-Montana, Switzerland. art. 7471304-p. 821-826, ⟨10.1109/WAINA.2016.173⟩
AINA Workshops
International audience; This work presents a data-intensive solution to predict heating and hot water consumption. The ability to predict locally those flexible sources considering meteorological uncertainty can play a key role in the management of m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4189c3ad2e3a3650c7a4bfe386ed15d
https://hal.archives-ouvertes.fr/hal-01620299
https://hal.archives-ouvertes.fr/hal-01620299
Autor:
Luc Dufour, Dominique Genoud, Bruno Ladevie, Francesco Maria Cimmino, Stéphane Genoud, Jean-Jacques Bezian
Publikováno v:
AINA Workshops
IEEE AINA-30th International Conference on Advanced Information Networking and Applications-WORKSHOPS (WAINA 2016)
IEEE AINA-30th International Conference on Advanced Information Networking and Applications-WORKSHOPS (WAINA 2016), 2016, Crans-Montana, Switzerland. art.7471305-p. 827-832, ⟨10.1109/WAINA.2016.174⟩
IEEE AINA-30th International Conference on Advanced Information Networking and Applications-WORKSHOPS (WAINA 2016)
IEEE AINA-30th International Conference on Advanced Information Networking and Applications-WORKSHOPS (WAINA 2016), 2016, Crans-Montana, Switzerland. art.7471305-p. 827-832, ⟨10.1109/WAINA.2016.174⟩
International audience; This work presents a data-intensive solution to predict heating and hot water consumption. The ability to predict locally those flexible sources considering meteorological uncertainty can play a key role in the management of m
Autor:
Paolo Peerani, Montserrat Marin Ferrer, Pascal Dransart, Janos Bagi, Jamie Rackham, Anne-Laure Weber, Luc Dechamp, Martyn T. Swinhoe, Thierry Lambert, Joseph Huszti, Ludwig Holzleitner, Jean-Luc Dufour, Marc Looman, Zdzislaw Dzbikowicz, Mark Wilson, S.J. Tobin
Publikováno v:
Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment. 608:316-327
Neutron coincidence counting is a widely adopted nondestructive assay (NDA) technique used in nuclear safeguards to measure the mass of nuclear material in samples. Nowadays, most neutron-counting systems are based on the original-shift-register tech
Autor:
Arnaud Zufferey, Mariam Barque, Dominique Genoud, Jean-Jacques Bezian, Bruno Ladevie, Luc Dufour
Publikováno v:
IMIS 2015-9th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing
IMIS 2015-9th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, Jul 2015, Blumenau, Brazil. pp.353-357, ⟨10.1109/IMIS.2015.54⟩
IMIS
IMIS 2015-9th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, Jul 2015, Blumenau, Brazil. pp.353-357, ⟨10.1109/IMIS.2015.54⟩
IMIS
International audience; This work presents a data-intensive solution to predict Photovoltaique energy (PV) production. PV and other renewable sources have widely spread in recent years. Although those sources provide an environmentally-friendly solut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef62e5b709988babc5dc823b15dfdcdd
https://hal.archives-ouvertes.fr/hal-01609215
https://hal.archives-ouvertes.fr/hal-01609215
Publikováno v:
ICC
Due to the high impact that energy consumption of buildings has at global scale, it has been stated the need of achieving energy-efficient buildings to reduce CO 2 emissions and energy consumption at global scale. In this work we propose to model the
Autor:
Bruno Ladevie, Luc Dufour, Antonio J. Jara, Dominique Genoud, Jerome Treboux, Jean-Jacques Bezian
Publikováno v:
WCNC Workshops
The building energy consumption represent 60% of total primary energy consumption in the world. In order to control the demand response schemes for residential users, it is crucial to be able to predict the different components of the total power con
Publikováno v:
WCNC Workshops
In this paper, a model for traffic jam prediction using data about traffic, weather and noise is presented. It is based on data coming from a Smart City in Spain called Santander. The project in this city is called ”Smart Santander” and provides