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forecasting models

1Convolutional Neural Network (CNN) 1Long Short-Term Memory (LSTM) 1deep learning 1demand volatility 1inventory performance 1machine learning 1promotions 1random forest regressor 1robust forecasts

1Abolghasemi, Mahdi 1Beh, Eric 1Brabrand, Mikkel 1Gerlach, Richard 1Range, Troels Martin 1Sudarshan, Vidya K. 1Tarr, Garth 1Wiil, Uffe Kock

Date

12020 12021

Facets

1Convolutional Neural Network (CNN) 1Long Short-Term Memory (LSTM) 1deep learning 1demand volatility 1inventory performance 1machine learning 1promotions 1random forest regressor 1robust forecasts

1Abolghasemi, Mahdi 1Beh, Eric 1Brabrand, Mikkel 1Gerlach, Richard 1Range, Troels Martin 1Sudarshan, Vidya K. 1Tarr, Garth 1Wiil, Uffe Kock

Date

12020 12021

Title
Creator
Date

Performance evaluation of Emergency Department patient arrivals forecasting models by including meteorological and calendar information: A comparative study

- Sudarshan, Vidya K., Brabrand, Mikkel, Range, Troels Martin, Wiil, Uffe Kock

Creator: Sudarshan, Vidya K. , Brabrand, Mikkel , Range, Troels Martin , Wiil, Uffe Kock
Resource Type: journal article
Date: 2021

Demand forecasting in supply chain: the impact of demand volatility in the presence of promotion

- Abolghasemi, Mahdi, Beh, Eric, Tarr, Garth, Gerlach, Richard

Creator: Abolghasemi, Mahdi , Beh, Eric , Tarr, Garth , Gerlach, Richard
Resource Type: journal article
Date: 2020

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