Multistep Wind Speed Forecasting Using a Novel Model Hybridizing Singular Spectrum Analysis, Modified Intelligent Optimization, and Rolling Elman Neural Network

Table 4

Parameters of the hybrid model.

Experimental parameters	Default value
PSO
Acceleration coefficient	1.494
Inertia weight	1
Maximum number of iterations	1000
The number of particles	20
Particle velocity	[−0.5, 0.5]
Particle positions	[−5, 5]
FA
The population size	20
Maximum iteration number	50
Absorption coefficient	1
Light intensity coefficient	0.2
Step size	0.5
Firefly positions	[−5, 5]
ENN
Input layer	4
Middle layer	5
Output layer	1
Iteration time	1000
Training requirement accuracy	0.000001
Learning rate	0.1