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ZENODO
Dataset . 2017
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2017
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2017
License: CC BY
Data sources: ZENODO
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Using electric vehicles as flexible resource in power systems: A case study in the Netherlands - Electronic Annex

Authors: Agnese Beltramo; Andreea Julea; Nazir Refa; Yannis Drossinos; Christian Thiel; Sylvain Quoilin;

Using electric vehicles as flexible resource in power systems: A case study in the Netherlands - Electronic Annex

Abstract

This repository is the electronic annex of the following publication: Beltramo, A., Julea, A., Refa, N., Drossinos, Y., Thiel, C., & Quoilin, S. (2017). Using electric vehicles as flexible resource in power systems: A case study in the Netherlands. Proceedings of the 14th International Conference on the European Energy Market. https://doi.org/10.1109/EEM.2017.7982006 The provided .csv file contains the processed data relative to the charging of electric vehicles, in the form of an aggregated load curve for the year 2015, with a time resolution of one minute. The curve is generated from real-life charging transactions metered in the Netherlands between January 2012 and May 2016 by ElaadNL. The raw data (not provided in this repository) consists in user-specific charging transactions from around 1750 charging points, which represent roughly 16% of the whole public charging infrastructure available in the Netherlands at the time of metering. This data was filtered, selecting only frequent users and considering only full electric vehicles.

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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