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Forecasting US tourist arrivals using optimal singular spectrum analysis
Hassani, Hossein; Webster, Allan D.; Silva, Emmanuel Sirimal - In: Tourism management : research, policies, practice 46 (2015), pp. 322-335
Persistent link: https://www.econbiz.de/10010486219
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Optimum prediction and forecasting of wheat demand in Iran
Babazadeh, Reza; Shamsi, Meisam; Shafipour, Fatemeh - In: International journal of applied management science : IJAMS 13 (2021) 2, pp. 141-151
Persistent link: https://www.econbiz.de/10012594613
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International tourist arrivals modelling and forecasting : a case of Zimbabwe
Makoni, Tendai; Mazuruse, Gideon; Nyagadza, Brighton - In: Sustainable technology and entrepreneurship 2 (2023) 1, pp. 1-8
, adopted quantitative forecasting techniques that can provide reliable estimates. For planning reasons, resource mobilization … autoregressive integrated moving average (SARIMA) model suited well to the data. The model predicted a gradual and seasonal increase …
Persistent link: https://www.econbiz.de/10014226568
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Electricity price forecasting with neural networks on EPEX order books
Schnürch, Simon; Wagner, Andreas - In: Applied mathematical finance 27 (2020) 3, pp. 189-206
Persistent link: https://www.econbiz.de/10012315166
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Artificial neural networks for spot electricity price forecasting : a review
Vijayalakshmi, Sedidi; Girish, Godekere Panchakshara Murthy - In: International Journal of Energy Economics and Policy : IJEEP 5 (2015) 4, pp. 1092-1097
Persistent link: https://www.econbiz.de/10011456481
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What machine learning can learn from foresight : a human-centered approach
Crews, Christian - In: Research-technology management 62 (2019) 1, pp. 30-33
Persistent link: https://www.econbiz.de/10012180737
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Machine learning in energy economics and finance: a review
Ghoddusi, Hamed; Creamer Guillén, Germán; Rafizadeh, Nima - In: Energy economics 81 (2019), pp. 709-727
Persistent link: https://www.econbiz.de/10012172954
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Privacy-preserving condition-based forecasting using machine learning
Taigel, Fabian; Tueno, Anselme K.; Pibernik, Richard - In: Journal of business economics : JBE 88 (2018) 5, pp. 563-592
Persistent link: https://www.econbiz.de/10011888565
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Composite forecasting approach, application for next-day electricity price forecasting
Mirakyan, Atom; Meyer-Renschhausen, Martin; Koch, Andreas - In: Energy economics 66 (2017), pp. 228-237
Persistent link: https://www.econbiz.de/10011896468
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How do less advanced forecasting methods perform on weekly RevPAR in different forecasting horizons following the recession?
Zheng, Tianshu; Bloom, Barry A. N.; Wang, Xiaofang; … - In: Tourism analysis : an interdisciplinary tourism & … 17 (2012) 4, pp. 459-472
Persistent link: https://www.econbiz.de/10009688857