peizhi li
peizhi li
Dongbei University of Finance and Economics
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A novel forecasting model based on a hybrid processing strategy and an optimized local linear fuzzy neural network to make wind power forecasting: A case study of wind farms in …
Q Dong, Y Sun, P Li
Renewable Energy 102, 241-257, 2017
Multifractal behavior of an air pollutant time series and the relevance to the predictability
Q Dong, Y Wang, P Li
Environmental pollution 222, 444-457, 2017
A novel hybrid strategy for PM2. 5 concentration analysis and prediction
P Jiang, Q Dong, P Li
Journal of environmental management 196, 443-457, 2017
A novel high-order weighted fuzzy time series model and its application in nonlinear time series prediction
P Jiang, Q Dong, P Li, L Lian
Applied Soft Computing 55, 44-62, 2017
The analysis and application of a new hybrid pollutants forecasting model using modified Kolmogorov–Zurbenko filter
P Li, Y Wang, Q Dong
Science of the total environment 583, 228-240, 2017
A support vector machine based semiparametric mixture cure model
P Li, Y Peng, P Jiang, Q Dong
Computational Statistics 35, 931-945, 2020
Research and application of a new hybrid wind speed forecasting model on BSO algorithm
P Jiang, P Li
Journal of Energy Engineering 143 (1), 04016019, 2017
Time to delisted status for listed firms in Chinese stock markets: An analysis using a mixture cure model with time-varying covariates
Q Dong, Y Peng, P Li
Journal of the Operational Research Society 73 (10), 2358-2369, 2022
Improved prediction of global gold prices: An innovative Hurst-reconfiguration-based machine learning approach
M Yang, R Wang, Z Zeng, P Li
Resources Policy 88, 104430, 2024
Box office prediction model based on web search data and machine learning
LI Pei-zhi, D Qing-li
Operations Research and Management Science 30 (11), 168, 2021
An empirical comparison between gradient boosting methods and cox’s proportional hazards model for right-censored survival data
P Li, Y Peng, J Zheng
Communications in Statistics-Simulation and Computation, 1-15, 2024
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