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Daily retail demand forecasting using machine learning with emphasis on calendric special days
Huber, Jakob; Stuckenschmidt, Heiner - In: International journal of forecasting 36 (2020) 4, pp. 1420-1438
Persistent link: https://www.econbiz.de/10012546798
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Discussion of "Fast sparse regression and classification" by Jerome Friedman
Tran, Minh-ngoc; Giordani, Paolo; Kohn, Robert - In: International journal of forecasting 28 (2012) 3, pp. 749-750
Persistent link: https://www.econbiz.de/10009659823
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Forecasting leadership transitions around the world
Cáceres, Neila; Malone, Samuel W. - In: International journal of forecasting 29 (2013) 4, pp. 575-591
Persistent link: https://www.econbiz.de/10010212467
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Identifying business cycle turning points in real time with vector quantization
Giusto, Andrea; Piger, Jeremy Max - In: International journal of forecasting 33 (2017) 1, pp. 174-184
Persistent link: https://www.econbiz.de/10011754696
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A comparison of univariate methods for forecasting electricity demand up to a day ahead
Taylor, James W.; De Menezes, Lilian M.; McSharry, … - In: International journal of forecasting 22 (2006) 1, pp. 1-16
Persistent link: https://www.econbiz.de/10003283925
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Forecasting with genetically programmed polynomial neural networks
De Menezes, Lilian M.; Nikolaev, Nikolay Y. - In: International journal of forecasting 22 (2006) 2, pp. 249-265
Persistent link: https://www.econbiz.de/10003315608
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Input space to neural network based load forecasters
Alves da Silva, Alexandre P.; Ferreira, Vitor H.; … - In: International journal of forecasting 24 (2008) 4, pp. 616-629
Persistent link: https://www.econbiz.de/10003808331
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Short-term wind power forecasting using evolutionary algorithms for the automated specification of artificial intelligence models
Jursa, René; Rohrig, Kurt - In: International journal of forecasting 24 (2008) 4, pp. 694-709
Persistent link: https://www.econbiz.de/10003808374
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Forecasting exchange rates : a robust regression approach
Preminger, Arie; Franck, Raphael - In: International journal of forecasting 23 (2007) 1, pp. 71-84
Persistent link: https://www.econbiz.de/10003438384
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Winning methods for forecasting seasonal tourism time series
Brierley, Phil - In: International journal of forecasting 27 (2011) 3, pp. 853-854
Persistent link: https://www.econbiz.de/10009248093