Table 1.

Hyper-parameter used in CNN-LSTM model

Model	Hyper-parameter description
	Hyper-parameter	Value
CNN-LSTM	LSTM layer	100 units
	LSTM layer activation function	Tanh
	Epoch	100
	Batch size	64
	Max-pooling layer size	2
	Pooling layer activation function	Relu
	Pooling layer padding	Same
	Loss function	MSE
	Optimizer	ADAM
	Learning rate	0.001
	Convolutional layer size (32 filters)	2
	Convolutional layer size (64 filters)	2
	Convolution layer activation function	tanh
	Convolution layer padding	Same