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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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Forecasting using variational Bayesian inference in large vector autoregressions with hierarchical shrinkage
Gefang, Deborah; Koop, Gary; Poon, Aubrey - In: International journal of forecasting 39 (2023) 1, pp. 346-363
Persistent link: https://www.econbiz.de/10014462786
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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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Cross-validation aggregation for combining autoregressive neural network forecasts
Barrow, Devon K.; Crone, Sven F. - In: International journal of forecasting 32 (2016) 4, pp. 1120-1137
Persistent link: https://www.econbiz.de/10011622112
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Discussion of the paper "Forecasting performance of three automated modeling techniques during the economic crisis 2007 - 2009" by A. Kock and T. Teräsvirta
Dubois, Eric - In: International journal of forecasting 30 (2014) 3, pp. 632-634
Persistent link: https://www.econbiz.de/10010514784
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Forecasting performances of three automated modelling techniques during the economic crisis : 2007 - 2009
Kock, Anders Bredahl; Teräsvirta, Timo - In: International journal of forecasting 30 (2014) 3, pp. 616-631
Persistent link: https://www.econbiz.de/10010514786
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A solution for M5 Forecasting-uncertainty : Hybrid gradient boosting and autoregressive recurrent neural network for quantile estimation
Chiew, Ernest; Choong, Shin Siang - In: International journal of forecasting 38 (2022) 4, pp. 1442-1447
Persistent link: https://www.econbiz.de/10014381105
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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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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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The predictive accuracy of credit ratings : measurement and statistical inference
Orth, Walter - In: International journal of forecasting 28 (2012) 1, pp. 288-296
Persistent link: https://www.econbiz.de/10009581936