| Electrical load forecasting: A deep learning approach based on K-nearest neighbors Y Dong, X Ma, T Fu Applied Soft Computing 99, 106900, 2021 | 95 | 2021 |
| An improved combination approach based on Adaboost algorithm for wind speed time series forecasting L Xiao, Y Dong, Y Dong Energy Conversion and Management 160, 273-288, 2018 | 68 | 2018 |
| Research on a combined model based on linear and nonlinear features-A case study of wind speed forecasting K Zhang, Z Qu, Y Dong, H Lu, W Leng, J Wang, W Zhang Renewable energy 130, 814-830, 2019 | 50 | 2019 |
| Short-term wind speed time series forecasting based on a hybrid method with multiple objective optimization for non-convex target Y Dong, J Wang, L Xiao, T Fu Energy 215, 119180, 2021 | 21 | 2021 |
| Wind power prediction based on multi-class autoregressive moving average model with logistic function Y Dong, S Ma, H Zhang, G Yang Journal of Modern Power Systems and Clean Energy 10 (5), 1184-1193, 2022 | 20 | 2022 |
| An estimating combination method for interval forecasting of electrical load time series X Ma, Y Dong Expert Systems with Applications 158, 113498, 2020 | 20 | 2020 |
| A novel sub-models selection algorithm based on max-relevance and min-redundancy neighborhood mutual information L Xiao, C Wang, Y Dong, J Wang Information Sciences 486, 310-339, 2019 | 19 | 2019 |
| Research and application of hybrid forecasting model based on an optimal feature selection system—a case study on electrical load forecasting Y Dong, J Wang, C Wang, Z Guo Energies 10 (4), 490, 2017 | 16 | 2017 |
| A time series attention mechanism based model for tourism demand forecasting Y Dong, L Xiao, J Wang, J Wang Information Sciences 628, 269-290, 2023 | 14 | 2023 |
| Research and application of local perceptron neural network in highway rectifier for time series forecasting Y Dong, J Wang, Z Guo Applied soft computing 64, 656-673, 2018 | 11 | 2018 |
| A graph-attention based spatial-temporal learning framework for tourism demand forecasting B Zhou, Y Dong, G Yang, F Hou, Z Hu, S Xu, S Ma Knowledge-Based Systems 263, 110275, 2023 | 9 | 2023 |
| A numerical model based on prior distribution fuzzy inference and neural networks J Wang, Y Dong, K Zhang, Z Guo Renewable Energy 112, 486-497, 2017 | 9 | 2017 |
| A novel model for tourism demand forecasting with spatial–temporal feature enhancement and image-driven method Y Dong, B Zhou, G Yang, F Hou, Z Hu, S Ma Neurocomputing 556, 126663, 2023 | 3 | 2023 |
| A combination model based deep long term model for tourism demand forecasting Y Dong, L Xiao 2022 3rd Asia Service Sciences and Software Engineering Conference, 126-131, 2022 | 2 | 2022 |
| A Transfer Learning Based Deep Model for Electrical Load Prediction Y Dong, L Xiao 2022 IEEE 8th International Conference on Computer and Communications (ICCC …, 2022 | 1 | 2022 |
| Wind Power Forecasting: Model Optimization and Feature Learning Y Dong PQDT-Global, 2023 | | 2023 |
| A Spatial-temporal Model for Tourism Demand Forecasting Y Dong, B Zhou, G Yang, F Hou, S Ma 2021 IEEE 23rd Int Conf on High Performance Computing & Communications; 7th …, 2021 | | 2021 |
| Spatial--Temporal Enhancement Based Tourism Demand Forecasting: A Deep Model for a Case in Urban Area Y Dong, B Zhou, G Yang, F Hou, Z Hu, S Ma Available at SSRN 4133437, 0 | | |
