Since the output plots generated are animated and interactive, they cannot be shown here. The time taken for the execution of the cleanTS() function, for each of the three datasets, the Power consumption, CO2 emission, and Temperature dataset are listed in Table 3. The power consumption ...
The spline functions corresponding to these solutions are shown in Fig. 1a in red and green. Based on these plots one could argue that the spline function corresponding to the globally optimal solution approximates the data set more accurately. Furthermore, it becomes apparent that a cubic ...
After training the LSTM model, the predict () function in Python was used to generate predictions for the testing data. Time series plots of the predicted and observed data were created to visualize the model’s prediction performance using the matplotlib library. Google Colaboratory, or Google ...