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How collaborative forecasting can reduce forecast accuracy
Galbreth, Michael R.; Kurtuluş, Mümin; Shor, Mikhael - In: Operations research letters 43 (2015) 4, pp. 349-353
Persistent link: https://www.econbiz.de/10011372486
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Collaborative forecasting in the food supply chain : a conceptual framework
Eksoz, Can; Mansouri, S. Afshin; Bourlakis, Michael - In: International journal of production economics 158 (2014), pp. 120-135
Persistent link: https://www.econbiz.de/10010438006
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Now or later? : trading wind power closer to real-time and how poorly designed subsidies lead to higher balanding costs
Mauritzen, Johannes - 2013
An important challenge facing many deregulated electricity markets is dealing with the increasing penetration of intermittent generation. Simulation studies have pointed to the advantages of trading closer to real-time with large amounts of intermittent generation. Using Danish data, I show...
Persistent link: https://www.econbiz.de/10009760510
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Forecasting international tourism with due regard to asymmetric income effects
Smeral, Egon - In: Tourism economics : the business and finance of tourism … 20 (2014) 1, pp. 61-72
Persistent link: https://www.econbiz.de/10010254424
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Development of new methods for measuring forecast error
Mathai, Allan Valsaraj; Agarwal, Ayush; Angampalli, Varnika - In: International journal of logistics systems and management 24 (2016) 2, pp. 213-225
Persistent link: https://www.econbiz.de/10011547022
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Knowledge base and BOTs : redefining workforce estimation model
Deb, Varsha; Vashisht, Vasudha; Arora, Nidhi - In: International journal of services and operations … 42 (2022) 2, pp. 267-280
Persistent link: https://www.econbiz.de/10013257589
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Factor-augmented forecasting regressions with threshold effects
Yan, Yayi; Cheng, Tingting - In: The econometrics journal 25 (2022) 1, pp. 134-154
Persistent link: https://www.econbiz.de/10012878901
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Time series analysis to predicting demand of roasted coffee production
Suhardi, Agatha Rinta; Amalia, Shendy; Oktafien, Shinta; … - In: International journal of financial research 10 (2019) 5, pp. 26-31
Persistent link: https://www.econbiz.de/10012392248
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Artificial Neural Networks as a quality loss function for Six Sigma
Uluskan, Meryem - In: Total quality management & business excellence 31 (2020) 16, pp. 1811-1828
Persistent link: https://www.econbiz.de/10012385061
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Who understands the US housing market?
Huck, Nicolas; Mesly, Olivier; Afawubo, Komivi - In: Applied economics letters 31 (2024) 2, pp. 128-131
Persistent link: https://www.econbiz.de/10014448261