Supplementary Workflows
This directory contains 5 workflows.
00_Python Test
Workflow to test that the Python installation is working in order to execute the exercise workflows
01_Additional_Visualizations
Additional plots to visually explore time series data
02_LSTM_Network
This workflow predicts time series (energy consumption) by an LSTM network with lagged values as input. The trained model is then used for out-of-sample […]
03_Deployment_and_Signal_Reconstruction
This workflow performs out-of-sample forecasting of hourly energy consumption. It accesses a pretrained machine learning model that predicts the residual […]
04_Model_Comparison
Workflow to compare forecast performances and execution times of classical time series models, machine learning models, and an LSTM model