Wind farm power forecasting: New algorithms with simplified mathematical structure
Author:
Publisher
AIP Publishing
Link
http://aip.scitation.org/doi/pdf/10.1063/1.5138761
Reference16 articles.
1. “The World Wind Energy Report 2018”. World Wind Energy Agency (WWEA), (2019).
2. Reviews on uncertainty analysis of wind power forecasting
3. B. Hodge and M. Milligan. “Wind power forecasting error distributions over multiple timescales” in 2011 IEEE Power and Energy Society General Meeting, edited by IEEE, (2011).
4. An improved neural network-based approach for short-term wind speed and power forecast
5. Medium-term wind speeds forecasting utilizing hybrid models for three different sites in Xinjiang, China
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