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Forecasting ATM cash demands using a local learning model of cerebellar associative memory network
Teddy, S. D.; Ng, S. K. - In: International journal of forecasting 27 (2011) 3, pp. 760-776
Persistent link: https://www.econbiz.de/10009248162
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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
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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
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An empirical investigation of water consumption forecasting methods
Karamaziotis, Panagiotis I.; Raptis, Achilleas; … - In: International journal of forecasting 36 (2020) 2, pp. 588-606
Persistent link: https://www.econbiz.de/10012415297
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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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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
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Demand forecasting for fashion products : a systematic review
Swaminathan, Kritika; Venkitasubramony, Rakesh - In: International journal of forecasting 40 (2024) 1, pp. 247-267
Persistent link: https://www.econbiz.de/10014450269
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Machine learning algorithms for forecasting and backcasting blood demand data with missing values and outliers : a study of Tema General Hospital of Ghana
Twumasi, Clement; Twumasi, Juliet - In: International journal of forecasting 38 (2022) 3, pp. 1258-1277
Persistent link: https://www.econbiz.de/10013349668
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A mixed frequency approach to the forecasting of private consumption with ATM/POS data
Duarte, Cláudia; Rodrigues, Paulo M. M.; Rua, António - In: International journal of forecasting 33 (2017) 1, pp. 61-75
Persistent link: https://www.econbiz.de/10011754684
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Predicting bank insolvencies using machine learning techniques
Petropoulos, Anastasios; Siakoulis, Vasilis; … - In: International journal of forecasting 36 (2020) 3, pp. 1092-1113
Persistent link: https://www.econbiz.de/10012497724