Table 1.

Model parameters

Method	Parameter	Values
LSTM/GRU	Number of layers	2
	Number of units	$\left\{50,20\right\}$
	Epochs	1000
	Batch size	300
	Learning rate	0.001
	Optimizer	Adam
	Loss function	MSE
CNN/Multivariate CNN	Number of Convolutional layers	4
	Number of Units in CNN layers	$\left\{32,64,128,256\right\}$
	Kernel size	$3\times 3$
	Number of Dense layers	2
	Number of Units in Dense Layers	$\left\{10,1\right\}$
	Epochs	1000
	Batch size	300
	Learning rate	0.001
	Optimizer	Adam
	Loss function	MSE