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ECONIS (ZBW)
1,744
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1
A general method for addressing forecasting uncertainty in inventory models
Prak, Dennis
;
Teunter, Ruud H.
- In:
International journal of forecasting
35
(
2019
)
1
,
pp. 224-238
Persistent link: https://www.econbiz.de/10012300676
Saved in:
2
Forecasting spare part
demand
with installed base information: a review
Van der Auweraer, Sarah
;
Boute, Robert N.
;
Syntetos, Aris A.
- In:
International journal of forecasting
35
(
2019
)
1
,
pp. 181-196
Persistent link: https://www.econbiz.de/10012300603
Saved in:
3
Forecasting the intermittent
demand
for slow-moving inventories : a modelling approach
Snyder, Ralph D.
;
Ord, John Keith
;
Beaumont, Adrian
- In:
International journal of forecasting
28
(
2012
)
2
,
pp. 477-484
Persistent link: https://www.econbiz.de/10009582558
Saved in:
4
A new approach to forecasting intermittent
demand
for service parts inventories
Willemain, Thomas R.
;
Smart, Charles N.
;
Schwarz, Henry F.
- In:
International journal of forecasting
20
(
2004
)
3
,
pp. 375-387
Persistent link: https://www.econbiz.de/10002169127
Saved in:
5
Commentary on: A new approach to forecasting intermittent
demand
for service parts inventories
Lawrence, Michael J.
- In:
International journal of forecasting
20
(
2004
)
3
,
pp. 389-390
Persistent link: https://www.econbiz.de/10002169165
Saved in:
6
A new metric of absolute percentage error for intermittent
demand
forecasts
Kim, Sungil
;
Kim, Heeyoung
- In:
International journal of forecasting
32
(
2016
)
3
,
pp. 669-679
Persistent link: https://www.econbiz.de/10011621769
Saved in:
7
A refined parametric model for short term load forecasting
Charlton, Nathaniel
;
Singleton, Colin
- In:
International journal of forecasting
30
(
2014
)
2
,
pp. 364-368
Persistent link: https://www.econbiz.de/10010510901
Saved in:
8
DeepAR : probabilistic forecasting with autoregressive recurrent networks
Salinas, David
;
Flunkert, Valentin
;
Gasthaus, Jan
; …
- In:
International journal of forecasting
36
(
2020
)
3
,
pp. 1181-1191
Persistent link: https://www.econbiz.de/10012498611
Saved in:
9
A hybrid machine learning model for forecasting a billing period’s peak electric load days
Saxena, Harshit
;
Aponte, Omar
;
McConky, Katie T.
- In:
International journal of forecasting
35
(
2019
)
4
,
pp. 1288-1303
Persistent link: https://www.econbiz.de/10012305279
Saved in:
10
Considerations of a retail forecasting practitioner
Seaman, Brian
- In:
International journal of forecasting
34
(
2018
)
4
,
pp. 822-829
Persistent link: https://www.econbiz.de/10012031119
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