01_TSA_with_LSTM_Network_Training
This workflow trains and applies an LSTM network to predict energy demand using lagged values of a time series as input. In the Evaluation and Predictions […]
04_Machine_Learning
This workflow predicts the residual of time series (energy consumption) by machine learning models that use lagged values as predictors. The residual of […]
Auto-SARIMA Exercise
This workflow demonstrates how the SARIMA components can be used to generate forecasts. In this case for hourly temperature data.
Energy Consumption Forecasting with LSTM
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 […]
Energy Consumption Forecasting with LSTM
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 […]