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DTU Data
Dataset . 2021
License: CC BY SA
Data sources: DTU Data
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/
Smithsonian figshare
Dataset . 2021
License: CC BY SA
Data sources: Bielefeld Academic Search Engine (BASE)
https://dx.doi.org/10.11583/dt...
Dataset . 2021
License: CC BY SA
Data sources: Datacite
https://dx.doi.org/10.11583/dt...
Dataset . 2021
License: CC BY SA
Data sources: Datacite
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Data-Driven Wind Power Forecast (SEST2021)

Research datakeyboard_double_arrow_right Dataset 01 Jan 2021 Denmark Publisher:Technical University of Denmark
Authors: Vazquez Pombo, Daniel;

doi: 10.11583/dtu.13286336.v1 , 10.11583/dtu.13286336

Data-Driven Wind Power Forecast (SEST2021)

Abstract

Author: Daniel Vázquez Pombo (dvapo@elektro.dtu.dk) ------------------------------------------------------------------------------- This dataset corresponds to the results of the paper titled: "Multi-Horizon Data-Driven Wind Power Forecast: From Nowcast to 2 Days-Ahead" 4th International Conference on Smart Energy Systems and Technologies (SEST) - 2021 -> https://sites.univaasa.fi/sest2021/ Submmited: Dec 2020 Accepted: Feb 2021 Published: Sep 2021 ------------------------------------------------------------------------------- The folder contains all the results presented in the paper, for clarity. Additional resources might be supplied under request. -------------------------------------------------------------------------------

Country
Denmark
Related Organizations
Keywords

690, 401703 Energy generation, conversion and storage (excl. chemical and electrical), Electrical energy generation (incl. renewables, excl. photovoltaics), Energy Generation, Conversion and Storage Engineering, forecasting, wind power, renewable energy, Energy Generation, Energy generation, conversion and storage (excl. chemical and electrical), Renewable Power and Energy Systems Engineering (excl. Solar Cells), Conversion and Storage Engineering, machine learning, data-driven, 400803 Electrical energy generation (incl. renewables, excl. photovoltaics)

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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