Correlated power time series of individual wind turbines: A data driven model approach
Author:
Affiliation:
1. Faculty of Physics, University of Duisburg-Essen, Lotharstrasse 1, 47057 Duisburg, Germany
2. ForWind and Institute of Physics, Carl-von-Ossietzky University Oldenburg, Küpkersweg 70, 26129 Oldenburg, Germany
Funder
Ministry for Science and Culture of the Federal State of Lower Saxony
Open Access Publication Fund University Duisburg-Essen
Publisher
AIP Publishing
Subject
Renewable Energy, Sustainability and the Environment
Link
http://aip.scitation.org/doi/pdf/10.1063/1.5139039
Reference75 articles.
1. Global potential for wind-generated electricity
2. Smart energy systems: Transitioning renewables onto the grid
3. Power-Electronic Systems for the Grid Integration of Renewable Energy Sources: A Survey
4. Review of wind power forecasting methods: From multi-spatial and temporal perspective
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