Interval prediction method for wind speed based on arqea optimized by beta distribution and swlstm

HIGHLIGHTS

  • who: Beta Distribution et al. from the School of Electrical Engineering, Shenyang University of Technology, Shenyang, China, Department of Technology have published the article: Interval Prediction Method for Wind Speed Based on ARQEA Optimized by Beta Distribution and SWLSTM, in the Journal: (JOURNAL)
  • what: In this study, to improve the accuracy of wind speed, a new hybrid method based on the SWLSTM model and beta-ARQEA algorithm is proposed, which combines methods of artificial_intelligence and statistics. The rest part of this study is as follows: a review of the principle of an SWLSTM neural_network is . . .

     

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