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An integrated approach to forecasting intermittent demand for electric power materials
Jiang, Aiping; Chi, Qiuguo; Gao, Junjun; Wu, Maoguo - In: Computational economics 53 (2019) 4, pp. 1309-1335
Persistent link: https://www.econbiz.de/10012135133
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Commentary on the M5 forecasting competition
Kolassa, Stephan - In: International journal of forecasting 38 (2022) 4, pp. 1562-1568
Persistent link: https://www.econbiz.de/10014381166
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Combination forecasts of tourism demand with machine learning models
Claveria, Oscar; Monte, Enric; Torra, Salvador - In: Applied economics letters 23 (2016) 4/6, pp. 428-431
Persistent link: https://www.econbiz.de/10011430763
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Collusion by algorithm : does better demand prediction facilitate coordination between sellers?
Miklós-Thal, Jeanine; Tucker, Catherine - In: Management science : journal of the Institute for … 65 (2019) 4, pp. 1552-1561
Persistent link: https://www.econbiz.de/10012022643
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Demand estimation with machine learning and model combination
Bajari, Patrick L.; Nekipelov, Denis N.; Ryan, Stephen; … - 2015
Persistent link: https://www.econbiz.de/10010496176
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Demand forecasting of individual probability density functions with machine learning
Wick, Felix; Kerzel, Ulrich; Hahn, Martin; Wolf, Moritz; … - In: Operations research forum 2 (2021) 3, pp. 1-39
Persistent link: https://www.econbiz.de/10012589930
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Utilising Machine Learning Approaches to Develop Price Optimisation and Demand Prediction Model for Multiple Products with Demand Correlation
Lee, Keun Hee; Akhavan-Abdollahian, Malihe; Schreider, … - 2022
competitiveness. However, this requires the ability to calculate customer demand in the Fast Moving Consumer Goods (FMCG) industry as … demand for goods due to changes in the price of other products, and it leads to an exponential number of combinations of … effect to the demand prediction and price optimisation model. The research has developed an algorithm to construct an …
Persistent link: https://www.econbiz.de/10014030643
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Artificial intelligence adoption in a competitive market
Gans, Joshua - In: Economica 90 (2023) 358, pp. 690-705
Persistent link: https://www.econbiz.de/10014310538
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Electricity consumption prediction using artificial intelligence
Čegovnik, Tomaž; Dobrovoljc, Andrej; Povh, Janez; … - In: Central European journal of operations research 31 (2023) 3, pp. 833-851
Persistent link: https://www.econbiz.de/10014326562
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Forecasting intermittent demand by hyperbolic-exponential smoothing
Prestwich, S. D.; Tarim, S. A.; Rossi, Roberto; Hnich, B. - In: International journal of forecasting 30 (2014) 4, pp. 928-933
Persistent link: https://www.econbiz.de/10010517777