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Power grid operation optimization and forecasting using a combined forecasting system
Author: Zhang, Lifang; Wang, Jianzhou; Liu, Zhenkun
Journal: JOURNAL OF FORECASTING. 2023; Vol. 42, Issue 1, pp. 124-153. DOI: 10.1002/for.2888
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A new PM2.5 concentration forecasting system based on AdaBoost-ensemble system with deep learning approach
Author: Li, Zhongfei; Gan, Kai; Sun, Shaolong; Wang, Shouyang
Journal: JOURNAL OF FORECASTING. 2023; Vol. 42, Issue 1, pp. 154-175. DOI: 10.1002/for.2883
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A hybrid approach with step-size aggregation to forecasting hierarchical time series
Author: Rehman, Hakeem-Ur; Wan, Guohua; Rafique, Raza
Journal: JOURNAL OF FORECASTING. 2023; Vol. 42, Issue 1, pp. 176-192. DOI: 10.1002/for.2895
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Trading volume and realized volatility forecasting: Evidence from the China stock market
Author: Liu, Min; Choo, Wei-Chong; Lee, Chi-Chuan; Lee, Chien-Chiang
Journal: JOURNAL OF FORECASTING. 2023; Vol. 42, Issue 1, pp. 76-100. DOI: 10.1002/for.2897
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Volatility forecasting for stock market incorporating macroeconomic variables based on GARCH-MIDAS and deep learning models
Author: Song, Yuping; Tang, Xiaolong; Wang, Hemin; Ma, Zhiren
Journal: JOURNAL OF FORECASTING. 2023; Vol. 42, Issue 1, pp. 51-59. DOI: 10.1002/for.2899
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Robust forecasting in spatial autoregressive model with total variation regularization
Author: Jiang, He
Journal: JOURNAL OF FORECASTING. 2023; Vol. 42, Issue 2, pp. 195-211. DOI: 10.1002/for.2900
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A tug of war of forecasting the US stock market volatility: Oil futures overnight versus intraday information
Author: Ma, Feng; Wahab, M. I. M.; Chevallier, Julien; Li, Ziyang
Journal: JOURNAL OF FORECASTING. 2023; Vol. 42, Issue 1, pp. 60-75. DOI: 10.1002/for.2903
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Combined water quality forecasting system based on multiobjective optimization and improved data decomposition integration strategy
Author: Dong, Yuqi; Wang, Jianzhou; Niu, Xinsong; Zeng, Bo
Journal: JOURNAL OF FORECASTING. 2023; Vol. 42, Issue 2, pp. 260-287. DOI: 10.1002/for.2905
