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 forecasting. The forecasted values are compared to the actual signal values, and the performance of the forecast is reported via scoring metrics and a line plot.

External resources

• "Once Upon A Time..." by LSTM Network