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ZENODO
Dataset . 2020
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 . 2020
License: CC BY
Data sources: ZENODO
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 . 2020
License: CC BY
Data sources: Datacite
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EnerPos simulation data

Authors: Ramahatana, Faly; Vigneron, Jérôme; Simpore, Sidiki; Le Gal La salle, Josselin; Lauret, Philippe; David, Mathieu;

EnerPos simulation data

Abstract

Those data are from EnerPos, an educational net-zero energy building in the tropic. The building is located at University of Reunion Island, France (21.340846°S, 55.490897°E). There are 3 sets: Microgrid characteristics, measured data and forecasted data. Microgrid characteristic: System description, Grid cost Monitored data: Solar irradiance, Wind Speed and direction, Energy consumption The forecasted data are probabilistic data with 1 hour resolutions: Linear quantile regression (LQR), Analog forecast, Climatology forecast, Variance Deficit

The authors acknowledge the financial support given by Region Reunion and European Regional development Fund (FEDER) under the POE-FEDER 2014-2020 (n$^{\circ}$DIRED/20161452-181554) PhD scholarship.

Keywords

NetZEB load data, solar forecast probabilistic data, Solar Forecasting, Solar Irradiance Data

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popularity
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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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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