Výsledky vyhledávání - "FLIELLER, Damien"

Towards an open model for data center research

Autor: Zhabelova, Gulnara, Vesterlund, Mattias, Eschmann, Sascha, Vyatkin, Valeriy, Flieller, Damien

Data centers are important players in the energy infrastructure. Aiming at addressing environmental challenges, large data centers such as Facebook, Google, Yahoo, etc., are increasing share of green power in their daily energy consumption. Such tren

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______661::dd2d65557e5769655a7131262968fef1
https://aaltodoc.aalto.fi/handle/123456789/38223

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A Comprehensive Model of Data Center

Autor: Zhabelova, Gulnara, Vesterlund, Mattias, Eschmann, Sascha, Berezovskaya, Yulia, Vyatkin, Valeriy, Flieller, Damien

Aiming at addressing environmental challenges, large data centers, such as Facebook, Google, and Yahoo, are increasing share of green power in their daily energy consumption. Such trends drive research into new directions, e.g., sustainable data cent

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______661::2c1f54d2ccc9d258b1e1d35c9656f892
https://aaltodoc.aalto.fi/handle/123456789/35068

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Akademický článek

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Optimal Efficiency Control of Synchronous Reluctance Motors-based ANN Considering Cross Magnetic Saturation and Iron Loss

Autor: Truong, Phuoc Hoa, Flieller, Damien, Nguyen, Ngac Ky, Merckle, Jean

Publikováno v: IECON 2015
Conférence IECON 2015 (41st Annual Conference of the IEEE Industrial Electronics Society)
Conférence IECON 2015 (41st Annual Conference of the IEEE Industrial Electronics Society), Nov 2015, Yokohama, Japan. pp.6

This paper presents a new idea by using the Artificial Neural Networks (ANNs) for estimating the parameters of the machine which achieving the maximum efficiency of the Synchronous Reluctance Motor (SynRM). This model take into consideration the magn

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::4a32343f649877bfe0bd85f5c3491233
https://hal.archives-ouvertes.fr/hal-03170487/file/L2EP_IECON_2015_NGUYEN.pdf

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A Self-Learning Solution for Torque Ripple Reduction for Non-Sinusoidal Permanent Magnet Motor Drives Based on Artificial Neural Networks

Autor: FLIELLER, Damien, Nguyen, Ngac Ky, WIRA, Patrick, STURTZER, Guy, Ould Abdeslam, Djaffar, Merckle, Jean

Publikováno v: IEEE Transactions on Industrial Electronics
IEEE Transactions on Industrial Electronics, 2013, pp.12
IEEE Transactions on Industrial Electronics, Institute of Electrical and Electronics Engineers, 2013, pp.12

This paper presents an original method, based on artificial neural networks, to reduce the torque ripple in a permanent-magnet non-sinusoidal synchronous motor. Solutions for calculating optimal currents are deduced from geometrical considerations an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::90dd40635bf404945bc0db9aeb548883
https://hal.science/hal-00794383

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Performance Optimization of a Photovoltaic Generator with an Active Power Filter Application

Autor: Blorfan, Ayman, Wira, Patrice, Flieller, Damien, Sturtzer, Guy, Merckle, Jean

Publikováno v: International Journal on Engineering Applications
International Journal on Engineering Applications, 2013, 1 (2), pp.106-112

International audience; Maximum Power Point Tracking (MPPT) for photovoltaic (PV) systems maximizes the power that can be transferred from the PV system to an electrical system here we use the active power filter. To maximize the PV panel output powe

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______212::11ca1b148c3e3a0a275ebff543c75142
https://hal.archives-ouvertes.fr/hal-00984994/document

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