Computational Intelligence
Improving demand forecasting with LSTM by taking into account the seasonality of data

Hossein Abbasimehr; Mohammad Khodizadeh Nahari

Volume 7, Issue 2 , June 2020, , Pages 177-189

https://doi.org/10.22105/jarie.2020.232594.1168

Abstract
  Demand forecasting is a vital task for firms to manage the optimum quantity of raw material and products. The demand forecasting task can be formulated as a time series forecasting problem by measuring historical demand data at equal intervals. Demand time series usually exhibit a seasonal pattern. The ...  Read More