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Interval forecasts of a novelty hybrid model for wind speeds
Qin, Shanshan; Liu, Feng; Wang, Jianzhou; Song, Yiliao - In: Energy Reports 1 (2015), pp. 8-16
The utilization of wind energy, as a booming technology in the field of renewable energies, has been highly regarded around the world. Quantification of uncertainties associated with accurate wind speed forecasts is essential for regulating wind power generation and integration. However, it...
Persistent link: https://www.econbiz.de/10011937636
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Using a Grey-Markov model optimized by Cuckoo search algorithm to forecast the annual foreign tourist arrivals to China
Sun, Xu; Sun, Wangshu; Wang, Jianzhou; Zhang, Yixin; … - In: Tourism management : research, policies, practice 52 (2016), pp. 369-379
Persistent link: https://www.econbiz.de/10011418437
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Bayesian regularisation neural network based on artificial intelligence optimisation
Yan, Dingqi; Zhou, Qi; Wang, Jianzhou; Zhang, Na - In: International journal of production research 55 (2017) 7/8, pp. 2266-2287
Persistent link: https://www.econbiz.de/10011648545
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A hybrid short-term electricity price forecasting framework : Cuckoo search-based feature selection with singular spectrum analysis and SVM
Zhang, Xiaobo; Wang, Jianzhou; Gao, Yuyang - In: Energy economics 81 (2019), pp. 899-913
Persistent link: https://www.econbiz.de/10012173023
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Multi-step air quality index forecasting via data preprocessing, sequence reconstruction, and improved multi-objective optimization algorithm
Wang, Ying; Wang, Jianzhou; Li, Hongmin; Yang, Hufang; … - In: Journal of forecasting 41 (2022) 7, pp. 1483-1511
Persistent link: https://www.econbiz.de/10013465709
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Power grid operation optimization and forecasting using a combined forecasting system
Zhang, Lifang; Wang, Jianzhou; Liu, Zhenkun - In: Journal of forecasting 42 (2023) 1, pp. 124-153
Persistent link: https://www.econbiz.de/10013465771
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Combined water quality forecasting system based on multiobjective optimization and improved data decomposition integration strategy
Dong, Yuqi; Wang, Jianzhou; Niu, Xinsong; Zeng, Bo - In: Journal of forecasting 42 (2023) 2, pp. 260-287
Persistent link: https://www.econbiz.de/10014292161
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Forecasting VaR and ES by using deep quantile regression, GANs-based scenario generation, and heterogeneous market hypothesis
Wang, Jianzhou; Wang, Shuai; Lv, Mengzheng; Jiang, He - In: Financial innovation : FIN 10 (2024), pp. 1-35
Value at risk (VaR) and expected shortfall (ES) have emerged as standard measures for detecting the market risk of financial assets and play essential roles in investment decisions, external regulations, and risk capital allocation. However, existing VaR estimation approaches fail to accurately...
Persistent link: https://www.econbiz.de/10014530222
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Using a grey model optimized by differential evolution algorithm to forecast the per capita annual net income of rural households in China
Zhao, Ze; Wang, Jianzhou; Zhao, Jing; Su, Zhongyue - In: Omega : the international journal of management science 40 (2012) 5, pp. 525-532
Persistent link: https://www.econbiz.de/10009511184
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Combining forecasts of electricity consumption in China with time-varying weights updated by a high-order Markov chain model
Zhao, Weigang; Wang, Jianzhou; Lu, Haiyan - In: Omega : the international journal of management science 45 (2014), pp. 80-91
Persistent link: https://www.econbiz.de/10010258682