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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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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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Daily retail demand forecasting using machine learning with emphasis on calendric special days
Huber, Jakob; Stuckenschmidt, Heiner - In: International journal of forecasting 36 (2020) 4, pp. 1420-1438
Persistent link: https://www.econbiz.de/10012546798
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Incorporating textual information in customer churn prediction models based on a convolutional neural network
Caigny, Arno de; Coussement, Kristof; De Bock, Koen W.; … - In: International journal of forecasting 36 (2020) 4, pp. 1563-1578
Persistent link: https://www.econbiz.de/10012547130
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Granger causality detection in high-dimensional systems using feedforward neural networks
Calvo Pardo, Héctor F.; Mancini, Tullio; Olmo, Jose - In: International journal of forecasting 37 (2021) 2, pp. 920-940
Persistent link: https://www.econbiz.de/10012792882
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U-Convolutional model for spatio-temporal wind speed forecasting
Bastos, Bruno Quaresma; Oliveira, Fernando Luiz Cyrino; … - In: International journal of forecasting 37 (2021) 2, pp. 949-970
Persistent link: https://www.econbiz.de/10012794764
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Investigating the accuracy of cross-learning time series forecasting methods
Semenoglou, Artemios-Anargyros; Spiliotis, Evangelos; … - In: International journal of forecasting 37 (2021) 3, pp. 1072-1084
Persistent link: https://www.econbiz.de/10012794805
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Recurrent Neural Networks for time series forecasting : Current status and future directions
Hewamalage, Hansika; Bergmeir, Christoph; Bandara, Kasun - In: International journal of forecasting 37 (2021) 1, pp. 388-427
Persistent link: https://www.econbiz.de/10012693081
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A brief history of forecasting competitions
Hyndman, Rob J. - In: International journal of forecasting 36 (2020) 1, pp. 7-14
Persistent link: https://www.econbiz.de/10012405521