追蹤
Lin WANG (王林)
Lin WANG (王林)
Prof., School of Management, Huazhong University of Science and Technology, Wuhan, P.R.China
在 hust.edu.cn 的電子郵件地址已通過驗證 - 首頁
標題
引用次數
引用次數
年份
Back propagation neural network with adaptive differential evolution algorithm for time series forecasting
L Wang, Y Zeng, T Chen
Expert Systems with Applications 42 (2), 855–863, 2015
6142015
Health information privacy concerns, antecedents, and information disclosure intention in online health communities
X Zhang, S Liu, X Chen, L Wang, B Gao, Q Zhu
Information & Management 55 (4), 482-493, 2018
3662018
Effective Long short-term Memory with Differential Evolution Algorithm for Electricity Price Prediction
L Peng, S Liu, R Liu, L Wang
Energy 162, 1301-1314, 2018
2892018
Multifactor-influenced energy consumption forecasting using enhanced back-propagation neural network
YR Zeng, Y Zeng, B Choi, L Wang
Energy 127, 381-396, 2017
2362017
Effective tourist volume forecasting supported by PCA and improved BPNN using Baidu index
S Li, T Chen, L Wang, C Ming
Tourism Management 68, 116-126, 2018
2212018
An improved fruit fly optimization algorithm and its application to joint replenishment problems
L Wang, Y Shi, S Liu
Expert Systems with Applications 42 (9), 4310–4323, 2015
1682015
Optimal forecast combination based on neural networks for time series forecasting
L Wang, Z Wang, H Qu, S Liu
Applied Soft Computing 66, 1-17, 2018
1542018
Understanding the impact of risks on performance in internal and outsourced information technology projects: The role of strategic importance
S Liu, L Wang
International Journal of Project Management 32 (8), 1494–1510, 2014
1532014
An effective multivariate time series classification approach using echo state network and adaptive differential evolution algorithm
L Wang, Z Wang, S Liu
Expert Systems with Applications 43, 237–249, 2016
1352016
Effective energy consumption forecasting using empirical wavelet transform and long short-term memory
L Peng, L Wang, D Xia, Q Gao
Energy 238, 121756, 2022
1342022
Wind speed forecasting based on variational mode decomposition and improved echo state network
H Hu, L Wang, R Tao
Renewable Energy 164, 729-751, 2021
1302021
Forecasting energy consumption and wind power generation using deep echo state network
H Hu, L Wang, SX Lv
Renewable Energy 154, 598-613, 2020
1162020
Effective electricity energy consumption forecasting using echo state network improved by differential evolution algorithm
L Wang, H Hu, XY Ai, H Liu
Energy 153, 801-815, 2018
1062018
Effects of process and outcome controls on business process outsourcing performance: Moderating roles of vendor and client capability risks
S Liu, L Wang, WW Huang
European Journal of Operational Research 260 (3), 1115-1128, 2017
992017
Influence of managerial control on performance in medical information system projects: The moderating role of organizational environment and team risks
S Liu, L Wang
International Journal of Project Management 34 (1), 102–116, 2016
982016
Interpretable wind speed prediction with multivariate time series and temporal fusion transformers
B Wu, L Wang, YR Zeng
Energy 252, 123990, 2022
962022
Forecasting the US oil markets based on social media information during the COVID-19 pandemic
B Wu, L Wang, S Wang, YR Zeng
Energy 226, 120403, 2021
932021
A hybrid VMD–BiGRU model for rubber futures time series forecasting
Q Zhu, F Zhang, S Liu, Y Wu, L Wang
Applied Soft Computing 84, 105739, 2019
922019
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
852018
Effective energy consumption forecasting using enhanced bagged echo state network
H Hu, L Wang, L Peng, YR Zeng
Energy 193, 116778, 2020
822020
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