Short-term prediction of wind power based on phase space reconstruction and BiLSTM
Author:
Publisher
Elsevier BV
Subject
General Energy
Reference29 articles.
1. Research on the new power system during the 14th five-year plan;Jianbo;Energy China,2021
2. Current capabilities in prediction at the national weather service’s national meteorological center;Fawcett;Bull Am Meteorol Soc,1977
3. A preliminary study of assimilating numerical weather prediction data into computational fluid dynamics models for wind prediction;Zajaczkowski;J Wind Eng Ind Aerodyn,2011
4. A boundary layer scaling technique for estimating near-surface wind energy using numerical weather prediction and wind map data;Allen;Appl Energy,2017
5. Study on the physical approach to wind power prediction;shuanglei;Proc CSEE,2010
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