| Short-term wind speed prediction model based on GA-ANN improved by VMD Y Zhang, G Pan, B Chen, J Han, Y Zhao, C Zhang Renewable energy 156, 1373-1388, 2020 | 276 | 2020 |
| A novel hybrid model based on VMD-WT and PCA-BP-RBF neural network for short-term wind speed forecasting Y Zhang, B Chen, G Pan, Y Zhao Energy Conversion and Management 195, 180-197, 2019 | 233 | 2019 |
| A new prediction method based on VMD-PRBF-ARMA-E model considering wind speed characteristic Y Zhang, Y Zhao, C Kong, B Chen Energy Conversion and Management 203, 112254, 2020 | 189 | 2020 |
| Wind speed prediction of IPSO-BP neural network based on lorenz disturbance Y Zhang, B Chen, Y Zhao, G Pan Ieee Access 6, 53168-53179, 2018 | 102 | 2018 |
| A novel hybrid model for wind speed prediction based on VMD and neural network considering atmospheric uncertainties Y Zhang, Y Zhao, S Gao IEEE Access 7, 60322-60332, 2019 | 62 | 2019 |
| Wind speed prediction with RBF neural network based on PCA and ICA Y Zhang, C Zhang, Y Zhao, S Gao Journal of Electrical Engineering 69 (2), 148-155, 2018 | 62 | 2018 |
| Wind speed interval prediction based on lorenz disturbance distribution Y Zhang, Y Zhao, G Pan, J Zhang IEEE Transactions on Sustainable Energy 11 (2), 807-816, 2019 | 59 | 2019 |
| A novel method for online real-time forecasting of crude oil price Y Zhao, W Zhang, X Gong, C Wang Applied Energy 303, 117588, 2021 | 46 | 2021 |
| Grid search with a weighted error function: Hyper-parameter optimization for financial time series forecasting Y Zhao, W Zhang, X Liu Applied Soft Computing 154, 111362, 2024 | 28 | 2024 |
| Explainable district heat load forecasting with active deep learning Y Huang, Y Zhao, Z Wang, X Liu, H Liu, Y Fu Applied Energy 350, 121753, 2023 | 23 | 2023 |
| Wind speed prediction research with EMD-BP based on Lorenz disturbance Y Zhang, G Pan, C Zhang, Y Zhao Journal of Electrical Engineering 70 (3), 198-207, 2019 | 23 | 2019 |
| Temporal collaborative attention for wind power forecasting Y Hu, H Liu, S Wu, Y Zhao, Z Wang, X Liu Applied Energy 357, 122502, 2024 | 21 | 2024 |
| Carbon futures price forecasting based on feature selection Y Zhao, Y Huang, Z Wang, X Liu Engineering Applications of Artificial Intelligence 135, 108646, 2024 | 5 | 2024 |
| A new feature selection method based on importance measures for crude oil return forecasting Y Zhao, Y Huang, Z Wang, X Liu Neurocomputing 581, 127470, 2024 | 4 | 2024 |
| Carbon futures return forecasting: A novel method based on decomposition-ensemble strategy and Markov process Y Zhao, W Zhang, X Gong, X Liu Applied Soft Computing, 111869, 2024 | 3 | 2024 |
| Forecasting stock volatility with a large set of predictors: A new forecast combination method X Gong, W Zhang, Y Zhao, X Ye Journal of Forecasting 42 (7), 1622-1647, 2023 | 3 | 2023 |
| Sparse dynamic graph learning for district heat load forecasting Y Huang, Y Zhao, Z Wang, X Liu, Y Fu Applied Energy 371, 123685, 2024 | 2 | 2024 |
| Forecasting carbon futures returns using feature selection and Markov chain with sample distribution Y Zhao, X Gong, W Zhang, W Xu Energy Economics 140, 107962, 2024 | | 2024 |
Xiufeng LiuDepartment of Technology, Management and Economics, Technical University of DenmarkVerified email at dtu.dk