Enhanced demand forecasting by combining analytical models and machine learning models
| Year of publication: |
2025
|
|---|---|
| Authors: | Nanty, Simon ; Fiig, Thomas ; Zannier, Ludovic ; Defoin-Platel, Michael |
| Published in: |
Journal of revenue and pricing management. - Cham : Springer Nature Switzerland AG, ISSN 1477-657X, ZDB-ID 2109274-6. - Vol. 24.2025, 5, p. 420-438
|
| Subject: | Analytical modeling | Deep learning | Demand forecasting | Forecast accuracy | Hybrid modeling | Interpretability | Knowledge injection | Prognoseverfahren | Forecasting model | Künstliche Intelligenz | Artificial intelligence | Nachfrage | Demand | Theorie | Theory | Modellierung | Scientific modelling | Lernprozess | Learning process | Prognose | Forecast |
-
Do global forecasting models require frequent retraining?
Zanotti, Marco, (2025)
-
On the stability of global forecasting models
Zanotti, Marco, (2025)
-
Artificial neural networks for demand forecasting of the Canadian forest products industry
Shahi, Shashi K., (2024)
- More ...
-
How recommender systems can transform airline offer construction and retailing
Dadoun, Amine, (2021)
-
Demand change detection in airline revenue management
Gatti Pinheiro, Giovanni, (2022)
-
Optimization of mixed fare structures : theory and applications
Fiig, Thomas, (2010)
- More ...