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 […]
2_ARIMA_Models
This workflow demonstrates how to predict time series (energy consumption) with an autoregressive integrated moving average (ARIMA) model.
03_SARIMA_Models
This workflow predicts the residual of time series (energy consumption) by seasonal autoregressive integrated moving average (ARIMA) models that aim at […]
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 […]
Daily Weather Time Series Forecasting
Daily Weather Time Series Forecasting This workflow uses the original workflow linked below in order to do a weather forecast (dataset also linked […]
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 […]
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 […]
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 […]
02_TSA_with_LSTM_Network_Deployment
This workflow applies an LSTM network to predict energy demand using lagged values of a time series as input.
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 […]