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Data preprocessing and quantile regression for probabilistic load forecasting in the GEFCom2017 final match
Kanda, Isao; Veguillas, J. M. Quintana - In: International journal of forecasting 35 (2019) 4, pp. 1460-1468
Persistent link: https://www.econbiz.de/10012305376
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K-nearest neighbors for GEFCom2014 probabilistic wind power forecasting
Mangalova, Ekaterina; Shesterneva, Olesya - In: International journal of forecasting 32 (2016) 3, pp. 1067-1073
Persistent link: https://www.econbiz.de/10011621996
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Parametric vs. semiparametric long memory : comments on "Prediction from ARFIMA models : Comparison between MLE and semiparametric estimation"
Arteche, Josu - In: International journal of forecasting 28 (2012) 1, pp. 54-56
Persistent link: https://www.econbiz.de/10009581402
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Prediction from ARFIMA models : comparisons between MLE and semiparametric estimation procedures
Baillie, Richard; Chaleampong Kongcharoen; Kapetanios, … - In: International journal of forecasting 28 (2012) 1, pp. 46-53
Persistent link: https://www.econbiz.de/10009581412
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A hybrid model of kernel density estimation and quantile regression for GEFCom2014 probabilistic load forecasting
Haben, Stephen; Giasemidis, Georgios - In: International journal of forecasting 32 (2016) 3, pp. 1017-1022
Persistent link: https://www.econbiz.de/10011621987
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Sequence of nonparametric models for GEFCom2014 probabilistic electric load forecasting
Mangalova, Ekaterina; Shesterneva, Olesya - In: International journal of forecasting 32 (2016) 3, pp. 1023-1028
Persistent link: https://www.econbiz.de/10011621988
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Distributional regression and its evaluation with the CRPS : bounds and convergence of the minimax risk
Pic, Romain; Dombry, Clément; Naveau, Philippe; … - In: International journal of forecasting 39 (2023) 4, pp. 1564-1572
Persistent link: https://www.econbiz.de/10014465329
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Overnight stock returns and realized volatility
Ahoniemi, Katja; Lanne, Markku - In: International journal of forecasting 29 (2013) 4, pp. 592-604
Persistent link: https://www.econbiz.de/10010212465
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A comparison of univariate methods for forecasting electricity demand up to a day ahead
Taylor, James W.; De Menezes, Lilian M.; McSharry, … - In: International journal of forecasting 22 (2006) 1, pp. 1-16
Persistent link: https://www.econbiz.de/10003283925
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Forecasting the NN5 time series with hybrid models
Wichard, Jörg D. - In: International journal of forecasting 27 (2011) 3, pp. 700-707
Persistent link: https://www.econbiz.de/10009248212