Subseasonal (1-4 week) energy demand prediction using LSTMs. Please use the provided code to process data and make predictions and plots. For original netcdf data used to process HDD proxy too large to provide here, please contact me. Initial results are shown in the plots folder: week 1-4 predictions are weekly average predictions, with lead time 0-3 weeks.
If you find this project useful in your research, please consider to cite:
Li, S., Sriver, R. L., and Ammons, S., 2022, “Subseasonal Prediction of Energy Consumption using Long Short-Term Memory Models”, in preparation