Source: CCGRID 2025: International Symposium on Cluster, Cloud and Grid Computing ; https://hal.science/hal-04981001 ; CCGRID 2025: International Symposium on Cluster, Cloud and Grid Computing, May 2025,

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Inversion-based Control Simplifications for a Cycling-mode Power Converter in Particle Accelerators

Authors : Baziz, Amel; Xystras, Dimitris; Le Godec, Gilles ...

Subjects: Energy storage; Converter control; Particle acceleratorParis; France

Source: The 26th European Conference on Power Electronics and Applications ; https://utc.hal.science/hal-05082310 ; The 26th European Conference on

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Power-based control of output oscillations with online estimation of biased harmonics

Authors : Ruderman, Michael; Efimov, Denis;

Subjects: Power based control; oscillations compensation; frequency estimationMexico

Source: ALCOS 2025 - 15th IFAC International Workshop on Adaptive and Learning Control Systems ; https://inria.hal.science/hal-05043313 ; ALCOS 2025 - 15th IFAC International Workshop on Adaptive and Learning

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AndroWatts: Unpacking the Power Consumption of Mobile Device's Components

Authors : Guégain, Édouard; Raes, Rémy; Chachignot, Noé ...

Subjects: Android; component; powerOttawaOttawa, Canada

Source: MOBILESoft'25 - 12th International Conference on Mobile Software Engineering and Systems ; https://hal.science/hal-04928609 ; MOBILESoft'25 - 12th International Conference on Mobile Software

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WindDragon: automated deep learning for regional wind power forecasting

Authors : Keisler, Julie; Le Naour, Etienne;

Subjects: automated machine learning deep learning renewable energies wind power forecasting; automated machine learning; deep learning

Source: EISSN: 2634-4602 ; Environmental Data Science ; https://hal.science/hal-04998192 ; Environmental Data Science, 2025, 4, ⟨10.1017/eds.2025.10⟩

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Deep Reinforcement Learning for Joint Time and Power Management in SWIPT-EH CIoT

Authors : Abdolkhani, Nadia; Abdel Khalek, Nada; Hamouda, Walaa ...

Subjects: Deep reinforcement learning; spectrum sharing; simultaneous wireless information and power transfer (SWIPT)

Source: ISSN: 1089-7798 ; IEEE Communications Letters ; https://hal.science/hal-05066855 ; IEEE Communications Letters, 2025, 29 (4), pp.660-664. ⟨10.1109/LCOMM.2025.3536182⟩.

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xPUE: Extending Power Usage Effectiveness Metrics for Cloud Infrastructures

Authors : Fieni, Guillaume; Rouvoy, Romain; Seinturier, Lionel ...

Subjects: Energy; Power consumption; Data center

Source: ISSN: 2377-3782 ; IEEE Transactions on Sustainable Computing ; https://hal.science/hal-04980997 ; IEEE Transactions on Sustainable Computing, In press, ⟨10.1109/TSUSC.2025.3549687⟩ ;

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Energetic Macroscopic Representation of a Partial Power Converter based Fuel Cell Electric Vehicle

Authors : Desreveaux, Anatole; Mayet, Clement; Béthoux, Olivier ...

Subjects: [SPI.NRJ]Engineering Sciences [physics]/Electric powerWashington; United StatesWashington, United States

Source: 2024 IEEE Vehicle Power and Propulsion Conference (VPPC)https://hal.science/hal-048071452024 IEEE Vehicle Power and Propulsion

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Enabling Low-Power Signature Recognition for the IoT with SLIF neurons

Authors : Marthe, Guillaume; Goursaud, Claire; Clavier, Laurent ...

Subjects: Spiking Neural Network; Low power design; Spiking NeuronsLyon; France

Source: EUSIPCO 2024 - 32nd European conference on signal processing ; https://hal.science/hal-04788239 ; EUSIPCO 2024 - 32nd European conference on signal processing, Aug 2024, Lyon, France. pp.1-5

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فلترة النتائج

Power Hardware and Driver-in-the-Loop for Battery Testing applied to Electrified Vehicles

CINERGY: Reasoning over the Worst Case Power Consumption of Cloud Virtual Machines

Inversion-based Control Simplifications for a Cycling-mode Power Converter in Particle Accelerators

Power-based control of output oscillations with online estimation of biased harmonics

AndroWatts: Unpacking the Power Consumption of Mobile Device's Components

WindDragon: automated deep learning for regional wind power forecasting

Deep Reinforcement Learning for Joint Time and Power Management in SWIPT-EH CIoT

xPUE: Extending Power Usage Effectiveness Metrics for Cloud Infrastructures

Energetic Macroscopic Representation of a Partial Power Converter based Fuel Cell Electric Vehicle

Enabling Low-Power Signature Recognition for the IoT with SLIF neurons

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