On the impact of deep learning-based time-series forecasts on multistage stochastic programming policies
Juyoung Wang, Mucahit Cevik and Merve Bodur
| Year of publication: |
2022
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| Authors: | Wang, Juyoung ; Cevik, Mucahit ; Bodur, Merve |
| Published in: |
INFOR : information systems and operational research. - Abingdon : Taylor & Francis Group, ISSN 1916-0615, ZDB-ID 1468358-1. - Vol. 60.2022, 2, p. 133-164
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| Subject: | autoregressive process | deep learning | lot-sizing problem | Multistage stochastic programming | policy evaluation | time-series forecasting | Stochastischer Prozess | Stochastic process | Theorie | Theory | Zeitreihenanalyse | Time series analysis | Prognoseverfahren | Forecasting model | Mathematische Optimierung | Mathematical programming |
Online Resource
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1080/03155986.2021.2015825 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10013271181