Renewable scenario generation based on the hybrid genetic algorithm with variable chromosome length

HIGHLIGHTS

• who: Xiaoming Liu et al. from the Jinan, China, Shandong University, Jinan, China have published the paper: Renewable Scenario Generation Based on the Hybrid Genetic Algorithm with Variable Chromosome Length, in the Journal: Energies 2023, 16, x FOR PEER REVIEW of /2023/
• what: The results of the analysis show that the normal Copula function has superior performance. The Zone -0.07 model 0.18 usually 0.29small, and -0.09this paper -0.91sets the maximum 0 1 and q ders of5the ARIMA fourth zone is analyzed asare an example, and the construction series results of . . .
  

   

  

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