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Blending gradient boosted trees and neural networks for point and probabilistic forecasting of hierarchical time series
Nasios, Ioannis; Vogklis, Konstantinos - In: International journal of forecasting 38 (2022) 4, pp. 1448-1459
Persistent link: https://www.econbiz.de/10014381109
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Probabilistic electric load forecasting : a tutorial review
Tao, Hong; Shu Fan - In: International journal of forecasting 32 (2016) 3, pp. 914-938
Persistent link: https://www.econbiz.de/10011621895
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Benchmarking robustness of load forecasting models under data integrity attacks
Luo, Jian; Tao, Hong; Fang, Shu-Cherng - In: International journal of forecasting 34 (2018) 1, pp. 89-104
Persistent link: https://www.econbiz.de/10012030845
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Residual value forecasting using asymmetric cost functions
Dress, Korbinian; Lessmann, Stefan; Mettenheim, … - In: International journal of forecasting 34 (2018) 4, pp. 551-565
Persistent link: https://www.econbiz.de/10012031040
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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 predictability of the distribution of excess returns in currency markets
Cho, Dooyeon - In: International journal of forecasting 37 (2021) 2, pp. 511-530
Persistent link: https://www.econbiz.de/10012792849
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GEFCom2014 probabilistic electric load forecasting : an integrated solution with forecast combination and residual simulation
Xie, Jingrui; Tao, Hong - In: International journal of forecasting 32 (2016) 3, pp. 1012-1016
Persistent link: https://www.econbiz.de/10011621984
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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
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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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Forecasting with artificial neural networks : the state of the art
Zhang, Guoqiang - In: International journal of forecasting 14 (1998) 1, pp. 35-62
Persistent link: https://www.econbiz.de/10001242434