Publications associées à Cost-Benefit Analysis of Electric Bus Fleet with Various Operation Intervals

Fly-Swat or Cannon? Cost-Effective Language Model Choice via Meta-Modeling

Maxime Jean Julien Peyrard, Robert West, Marija Sakota

Generative language models (LMs) have become omnipresent across data science. For a wide variety of tasks, inputs can be phrased as natural language prompts for an LM, from whose output the solution can then be extracted. LM performance has consistently be ...

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Federated Reinforcement Learning for Electric Vehicles Charging Control on Distribution Networks

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Ieee-Inst Electrical Electronics Engineers Inc2024

Sensitivity to user mischaracterizations in electric vehicle charging

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In this paper, we consider electric vehicle charging facilities that offer various levels of service, i.e., charging rates, for varying prices such that rational users choose a level of service that minimizes the total cost to themselves including an oppor ...

ELSEVIER2023

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Electric vehicle charging facilities offer their capacity constrained electric charge and parking to users for a fee. As electric vehicle adoption grows, so too does the potential for excessive resource utilization. In this paper, we study how prices set b ...

PERGAMON-ELSEVIER SCIENCE LTD2023

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Time has always been a central factor in understanding the challenges of daily mobility. For a long time, and still today, methods of economic evaluation of transport projects have monetized time savings so that they can be included in the cost–benefit ana ...

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In this work we consider an online learning problem, called Online k-Clustering with Moving Costs, at which a learner maintains a set of k facilities over T rounds so as to minimize the connection cost of an adversarially selected sequence of clients. The ...

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Updates on Hydrogen Value Chain: A Strategic Roadmap

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Demand-based operations of vehicle sharing systems

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Vehicle sharing systems (VSSs) allow users to rent vehicles for a short period of time, in a more flexible and convenient manner compared to the traditional vehicle rental services. The long-term VSS subscription replaces the need for contract signing for ...

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Hardware-Software co-design Methodologies for Edge AI Optimization

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A continuum approximation approach to the depot location problem in a crowd-shipping system

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Robust tunable acoustic impedance control on electroacoustic resonators for aircraft noise reduction

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On the possibility of extending the service life of winter roads using renewable energy sources

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The thermodynamic and life-cycle assessments of a novel charging station for electric vehicles in dynamic and steady-state conditions

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Nature Portfolio2023

Mapping the charging demand for electric vehicles in 2050 from mobility habits

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This paper proposes a method to spatially model and compare charging needs on the European scale considering local disparities in population density, distance to city centres, car ownership and mobility habits. Mobility habits are modelled across Europe in ...

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Improving K-means Clustering Using Speculation

Anastasia Ailamaki, Viktor Sanca, Eleni Zapridou, Stefan Igescu

K-means is one of the fundamental unsupervised data clustering and machine learning methods. It has been well studied over the years: parallelized, approximated, and optimized for different cases and applications. With increasingly higher parallelism leadi ...

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