Table 16 Comparison of the actual computational execution times among diverse hybrid approaches across multi-seasonal wind power datasets.

From: Hybrid prediction system for reliable multi-seasonal sustainable energy generation under meteorological and environmental volatility

Hybrid approaches

Mar (/s)

Jun (/s)

Sep (/s)

Dec (/s)

Mean times (/s)

ICEEMDAN-NCRBMO-AELM*

247.6*

266.13*

235*

257.1*

251.46*

CPO-BITCN-BIGRU

1762.11

2531.66

2368.68

2316

2244.61

PSO-BP

107.3

116.82

104.25

115.01

110.845

QRBI-LSTM

293.81

309

315.41

391.28

327.38

CNN-stacked-LSTM

294.6

326.56

325.69

343.26

322.53

CEEMDAN-iMPA-BiLSTM

552.85

789.7

732.12

747.38

705.51

BKA-Transformer

496.16

597.45

558.14

635.74

571.87