| Forecasting energy consumption and wind power generation using deep echo state network H Hu, L Wang, SX Lv Renewable Energy 154, 598-613, 2020 | 147 | 2020 |
| Deep learning combined wind speed forecasting with hybrid time series decomposition and multi-objective parameter optimization SX Lv, L Wang Applied Energy 311, 118674, 2022 | 97 | 2022 |
| Effective crude oil price forecasting using new text-based and big-data-driven model B Wu, L Wang, SX Lv, YR Zeng Measurement 168, 108468, 2021 | 91 | 2021 |
| Effective sparse adaboost method with ESN and FOA for industrial electricity consumption forecasting in China L Wang, SX Lv, YR Zeng Energy 155, 1013-1031, 2018 | 91 | 2018 |
| Effective long short-term memory with fruit fly optimization algorithm for time series forecasting L Peng, Q Zhu, SX Lv, L Wang Soft Computing 24, 15059-15079, 2020 | 82 | 2020 |
| Multivariate wind speed forecasting based on multi-objective feature selection approach and hybrid deep learning model SX Lv, L Wang Energy 263, 126100, 2023 | 81 | 2023 |
| Stacked autoencoder with echo-state regression for tourism demand forecasting using search query data SX Lv, L Peng, L Wang Applied Soft Computing 73, 119-133, 2018 | 71 | 2018 |
| Effective machine learning model combination based on selective ensemble strategy for time series forecasting SX Lv, L Peng, H Hu, L Wang Information Sciences 612, 994-1023, 2022 | 56 | 2022 |
| An effective fruit fly optimization algorithm with hybrid information exchange and its applications SX Lv, YR Zeng, L Wang International Journal of Machine Learning and Cybernetics 9, 1623-1648, 2018 | 48 | 2018 |
| Literature survey of fruit fly optimization algorithm L Wang, SX Lv, YR Zeng Control and Decision 32 (7), 1153-1162, 2017 | 25 | 2017 |
| Effective electricity load forecasting using enhanced double-reservoir echo state network L Peng, SX Lv, L Wang, ZY Wang Engineering Applications of Artificial Intelligence 99, 104132, 2021 | 24 | 2021 |
| Forecasting oil consumption with attention-based IndRNN optimized by adaptive differential evolution B Wu, L Wang, SX Lv, YR Zeng Applied Intelligence 53 (5), 5473-5496, 2023 | 12 | 2023 |
| Explainable machine learning techniques based on attention gate recurrent unit and local interpretable model‐agnostic explanations for multivariate wind speed forecasting L Peng, SX Lv, L Wang Journal of Forecasting 43 (6), 2064-2087, 2024 | 11 | 2024 |
| Explainable Soybean Futures Price Forecasting Based on Multi‐Source Feature Fusion B Wu, S Yu, SX Lv Journal of Forecasting, 2024 | | 2024 |
Lin WANG (王林)Prof., School of Management, Huazhong University of Science and Technology, Wuhan, P.R.Chinahust.edu.cn의 이메일 확인됨