This is the implementation envirnment of Deep LSTM-AutoEncoder (DLSTM-AE) based Transfer Learning for Hierarchical Time Series Forecasting.
This model is published in the paper titled: Deep LSTM based Transfer Learning Approach for Coherent Forecasts in Hierarchical Time Series, Sensors, 2021.
Computational Environment:
OS: Ubuntu 16.04
OS type: 64-bit
python version: 3.7
Intel Core™ : i7-6700 CPU @ 3.40GHz