time   X1    X2   X3   PREDICT
 0     63    0    0     63 (0+60)
60     63    2    0     104(120min)
120    0     0    10    110 (180 min)

model.reset_states()
predict =model.predict(X_TEST)
for i in range(len(X_TEST)):
predict = np.append(predict, model.predict([X_TEST[i,None,:],predict[i]]))
predict_value = np.asarray(predict)
prediction = predict_value.reshape(predict_value.shape[0],predict_value.shape[1])