物流与供应链管理、预测理论与方法、智能优化算法

[1] Lu Peng, Lin Wang*, De Xia, Qinglu Gao. Effective energy consumption forecasting using empirical wavelet transform and long short-term memory. Energy, 2022, 238: 121756. (JCR Q1)
[2] Lu Peng, Sheng-Xiang Lv, Lin Wang*, Zi-Yun Wang. Effective electricity load forecasting using enhanced double-reservoir echo state network. Engineering Applications of Artificial Intelligence, 2021, 99: 104132. (JCR Q1)
[3] Lu Peng, Lin Wang, Xue-Yi Ai, Yu-Rong Zeng*. Forecasting tourist arrivals via random forest and long short-term memory. Cognitive Computation, 2021, 13(1): 125-138. ( JCR Q1)
[4] Lin Wang, Lu Peng, Rui Liu, Ligang Cui, Shan Liu*. Heuristic for the new coordinated dynamic demand lot-size and delivery planning problem. Engineering Computations, 2021, 38(2): 941-963. ( JCR Q3)
[5] Lin Wang, Lu Peng, Sirui Wang, Shan Liu*. Advanced backtracking search optimization algorithm for a new joint replenishment problem under trade credit with grouping constraint. Applied Soft Computing, 2020, 86: 105953. ( JCR Q1)
[6] Lu Peng, Qing Zhu, Sheng-Xiang Lv, Lin Wang*. Effective long short-term memory with fruit fly optimization algorithm for time series forecasting. Soft Computing, 2020, 24(19): 15059-15079. (JCR Q2)
[7] Lu Peng, Shan Liu, Rui Liu, Lin Wang*. Effective long short-term memory with differential evolution algorithm for electricity price prediction. Energy, 2018, 162: 1301-1304. (JCR Q1)
[8] 王林*, 彭璐, 夏德, 曾奕. 自适应差分进化算法优化BP神经网络的时间序列预测. 计算机工程与科学, 2015,37(12): 2270-2275.

教育背景：
2021年毕业于华中科技大学管理科学与工程专业，获管理学博士学位。