| Modelling a combined method based on ANFIS and neural network improved by DE algorithm: A case study for short-term electricity demand forecasting Y Yang, Y Chen, Y Wang, C Li, L Li Applied Soft Computing 49, 663-675, 2016 | 167 | 2016 |
| Mixed kernel based extreme learning machine for electric load forecasting Y Chen, M Kloft, Y Yang, C Li, L Li Neurocomputing 312, 90-106, 2018 | 103 | 2018 |
| A hybrid application algorithm based on the support vector machine and artificial intelligence: An example of electric load forecasting Y Chen, Y Yang, C Liu, C Li, L Li Applied Mathematical Modelling 39 (9), 2617-2632, 2015 | 82 | 2015 |
| A novel combined model based on echo state network for multi-step ahead wind speed forecasting: A case study of NREL Y Chen, Z He, Z Shang, C Li, L Li, M Xu Energy conversion and management 179, 13-29, 2019 | 72 | 2019 |
| A new strategy for short-term load forecasting Y Yang, J Wu, Y Chen, C Li Abstract and applied analysis 2013, 2013 | 48 | 2013 |
| An improved grey neural network forecasting method based on genetic algorithm for oil consumption of China Y Yang, Y Chen, J Shi, M Liu, C Li, L Li Journal of Renewable and Sustainable Energy 8 (2), 2016 | 19 | 2016 |
| A novel hybrid network traffic prediction approach based on support vector machines W Chen, Z Shang, Y Chen Journal of Computer Networks and Communications 2019, 2019 | 16 | 2019 |
| Intelligent optimized combined model based on GARCH and SVM for forecasting electricity price of New South Wales, Australia Y Yang, Y Dong, Y Chen, C Li Abstract and Applied Analysis 2014, 2014 | 13 | 2014 |
| A hybrid model for electricity price forecasting based on least square support vector machines with combined kernel Y Chen, M Li, Y Yang, C Li, Y Li, L Li Journal of Renewable and Sustainable Energy 10 (5), 2018 | 12 | 2018 |
| Network traffic prediction based on LSSVM optimized by PSO Y Yang, Y Chen, C Li, X Gui, L Li 2014 IEEE 11th Intl Conf on Ubiquitous Intelligence and Computing and 2014 …, 2014 | 8 | 2014 |
| A novel hybrid model based on least square support vector machine and weight coefficients optimization: A case study of short-term electric load forecasting Y Wang, Y Yang, C Li, Y Chen, L Li Journal of Renewable and Sustainable Energy 9 (2), 2017 | 5 | 2017 |
| A novel wind speed forecasting model based on moving window and multi-objective particle swarm optimization algorithm Article MX Zhaoshuang He, Yanhua Chen, Zhihao Shang, Caihong Li, Lian Li Applied Mathematical Modelling 76, 717-740, 2019 | | 2019 |
zhihao shangZhengzhou UniversityVerified email at zzu.edu.cn
zhihao shangZhengzhou UniversityVerified email at zzu.edu.cn