Application of probabilistic wind power forecasting in electricity markets
Author:
Affiliation:
1. Decision and Information Sciences Division; Argonne National Laboratory; Argonne; IL; USA
2. INESC TEC - INESC Technology and Science (formerly INESC Porto) and FEUP; University of Porto; Porto; Portugal
Publisher
Wiley
Subject
Renewable Energy, Sustainability and the Environment
Link
http://onlinelibrary.wiley.com/wol1/doi/10.1002/we.1496/fullpdf
Reference48 articles.
1. U.S. Department of Energy (DOE) 2008 20% wind energy by 2030: increasing wind energy's contribution to U.S. electricity supply DOE Office of Energy Efficiency and Renewable Energy Report http://www1.eere.energy.gov/wind/wind_energy_report.html
2. Entropy and correntropy against minimum square error in offline and online three-day ahead wind power forecasting;Bessa;IEEE Transaction on Power Systems,2009
3. Short-term wind speed prediction in wind farms based on banks of support vector machines;Ortiz-Garcia;Wind Energy,2011
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