| Combined forecasting models for wind energy forecasting: A case study in China L Xiao, J Wang, Y Dong, J Wu Renewable and Sustainable Energy Reviews 44, 271-288, 2015 | 204 | 2015 |
| 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 |
| Wind speed forecasting based on multi-objective grey wolf optimisation algorithm, weighted information criterion, and wind energy conversion system: A case study in Eastern China C Wang, S Zhang, L Xiao, T Fu Energy Conversion and Management 243, 114402, 2021 | 50 | 2021 |
| Wind speed forecasting based on model selection, fuzzy cluster, and multi-objective algorithm and wind energy simulation by Betz's theory S Zhang, C Wang, P Liao, L Xiao, T Fu Expert Systems with Applications 193, 116509, 2022 | 41 | 2022 |
| A decomposition ensemble based deep learning approach for crude oil price forecasting H Jiang, W Hu, L Xiao, Y Dong Resources Policy 78, 102855, 2022 | 28 | 2022 |
| Short-term power load interval forecasting based on nonparametric Bootstrap errors sampling L Xiao, M Li, S Zhang Energy Reports 8, 6672-6686, 2022 | 21 | 2022 |
| 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 |
| 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 | 19 | 2023 |
| 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 |
| The combination forecasting of electricity price based on price spikes processing: a case study in south Australia J Wang, L Xiao, J Shi Abstract and Applied Analysis 2014 (1), 172306, 2014 | 9 | 2014 |
| 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 dynamic multi-model transfer based short-term load forecasting L Xiao, Q Bai, B Wang Applied Soft Computing 159, 111627, 2024 | 1 | 2024 |
| 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 |
| Optimized Transfer Learning Based Short-term Electrical Load Interval Prediction Q Bai, D Huang, L Xiao Journal of Physics: Conference Series 2661 (1), 012033, 2023 | | 2023 |
| Corrigendum to “Combined forecasting models for wind energy forecasting: A case study in China”[Renew. Sustain. Energy Rev. 44 (2015) 271–288] L Xiao, J Wang, Y Dong, J Wu Renewable and Sustainable Energy Reviews 100 (74), 1407, 2017 | | 2017 |
