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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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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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Interval decomposition ensemble approach for crude oil price forecasting
Sun, Shaolong; Sun, Yuying; Wang, Shouyang; Wei, Yunjie - In: Energy economics 76 (2018), pp. 274-287
Persistent link: https://www.econbiz.de/10011976631
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Electricity price forecasting : a review of the state-of-the-art with a look into the future
Weron, Rafał - In: International journal of forecasting 30 (2014) 4, pp. 1030-1081
Persistent link: https://www.econbiz.de/10010517770
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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
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Forecasting using nonlinear long memory models with artificial neural network expansion
Chaleampong Kongcharoen - In: Uncertainty analysis in econometrics with applications …, (pp. 241-254). 2013
Persistent link: https://www.econbiz.de/10009711144
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Crude oil price forecasting : experimental evidence from wavelet decomposition and neural network modeling
Jammazi, Rania; Aloui, Chaker - In: Energy economics 34 (2012) 3, pp. 828-841
Persistent link: https://www.econbiz.de/10010219886
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Probabilistic electricity price forecasting with NARX networks : combine point or probabilistic forecasts?
Marcjasz, Grzegorz; Uniejewski, Bartosz; Weron, Rafał - In: International journal of forecasting 36 (2020) 2, pp. 466-479
Persistent link: https://www.econbiz.de/10012415156
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On the importance of the long-term seasonal component in day-ahead electricity price forecasting with NARX neural networks
Marcjasz, Grzegorz; Uniejewski, Bartosz; Weron, Rafał - In: International journal of forecasting 35 (2019) 4, pp. 1520-1532
Persistent link: https://www.econbiz.de/10012305383
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Machine learning in energy forecasts with an application to high frequency electricity consumption data
Heilmann, Erik; Henze, Janosch; Wetzel, Heike - 2021
machine learning can meet these requirements by providing different model approaches and a standardized process of model … learning in the context of energy economics and presenting an exemplary application to electricity load data. For this, we … introduce and demonstrate the structured machine learning process containing the preparation, model selection and test of …
Persistent link: https://www.econbiz.de/10012649104