职称：特任副研究员

邮箱：pengluhust@whut.edu.cn

研究方向：物流与供应链管理、预测理论与方法、智能优化算法

个人简介：彭璐，女，1991年8月生，湖北荆州人，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。在Energy、Applied Soft Computing、Engineering Applications of Artificial Intelligence等期刊上发表多篇论文。现任拉斯维加斯7799908特任副研究员。 

发表论文情况：

[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.

其他说明：

欢迎对物流与供应链管理、预测理论与方法、智能优化算法感兴趣的同学及国内外同行就共同关注的问题开展合作研究。