Table 2.

Hyperparameter setting for Bi-LSTM model and other forecasting models.

Hyperparameters	Variable	Value
Number of training samples	no_training_samples	1,999,970
Number of testing samples	no_testing_sample	499,970
Number of time steps	no_timesteps	30
Number of input neurons	no_input_node ($ni$)	64
Number of hidden neurons	no_hidden_node ($nh$)	64
Number of output neurons	no_output_node ($no$)	1
Number of features	no_features	1
Dropout layer	dropout	0.2
Training optimizer	optimizer ($op$)	Adam
Batch size	batch_size ($bat$)	16
Training shuffle	shuffle	false
Number of epochs	$epochs\left(ep\right)$	100
Validation ratio	$val$	0.2