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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

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

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

A novel hybrid fine particulate matter (PM2.5) forecasting and its further application system : case studies in China

Du, Pei; Wang, Jianzhou; Yang, Wendong; Niu, Tong - In: Journal of forecasting 41 (2022) 1, pp. 64-85

Persistent link: https://www.econbiz.de/10012796269

Data-driven predictive modeling of citywide crowd flow for urban safety management : a case study of Beijing, China

Jiang, He; Zhang, Xuxilu; Dong, Yao; Wang, Jianzhou - In: Journal of forecasting 44 (2025) 2, pp. 730-752

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Can China realize its carbon emission reduction goal in 2020: From the perspective of thermal power development

Liu, Liwei; Zong, Haijing; Zhao, Erdong; Chen, Chuxiang; … - In: Applied Energy 124 (2014) C, pp. 199-212

This paper answers the question of whether China can realize its target to reduce the intensity of carbon dioxide (CO2) emissions per unit of GDP that was announced at the Copenhagen Conference by forecasting CO2 emission intensity in 2020 from the perspective of China’s coal-fired thermal...

Persistent link: https://www.econbiz.de/10010789848