姓名：彭璐

职称:特任副研究员

邮箱:pengluhust@whut.edu.cn

个人简介：彭璐，女，1991年8月生，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。主持1项教育部人文社会科学研究青年基金项目、1项国家重点研发计划子课题。担任EI期刊《Data Science and Management》Associate Editor。参与多项国家社科基金项目或国家自科基金项目研究。在《中国管理科学》、《Computers & Operations Research》、《Journal of Forecasting》、《Energy》、《Applied Soft Computing》等期刊发表多篇论文。

研究方向:物流与供应链管理、大数据商务分析与人工智能、预测理论与方法、智能优化算法

代表性科研项目:

[1]教育部人文社会科学研究项目《碳减排视角下联合采购与配送集成优化研究--以电力行业为例》（23YJC630139），8万，主持。

[2]科技部国家重点研发计划《面向电商的数智化物流服务技术与平台研发及示范应用》（2023YFF0905600）子课题负责人，20万，主持。

代表性论文(2010年以来):

[1] Peng L, Lv S X, Wang L. Explainable machine learning techniques based on attention gate recurrent unit and local interpretable model‐agnostic explanations for multivariate wind speed forecasting[J]. Journal of Forecasting, 2024, 43(6): 2064-2087.

[2] Wu B, Yu S, Peng L*, et al. Interpretable wind speed forecasting with meteorological feature exploring and two-stage decomposition[J]. Energy, 2024, 294: 130782.

[3] 王思睿,王林,彭璐*,张金隆.基于Lipschitz连续性的异质品联合补货-配送协同优化研究[J].中国管理科学,2024,32(05):218-228.

[4] Wang L, Wang S, Gong Y, Peng L*. Optimizing a multi-echelon location-inventory problem with joint replenishment: A Lipschitz ϵ-optimal approach using Lagrangian relaxation[J]. Computers & Operations Research, 2023, 151: 106128.

[5] Peng L, Wang L, Wang S. Hybrid arithmetic optimization algorithm for a new multi-warehouse joint replenishment and delivery problem under trade credit[J]. Neural Computing and Applications, 2023, 35(10): 7561-7580.

[6] Peng L, Wang L, Xia D, et al. Effective energy consumption forecasting using empirical wavelet transform and long short-term memory[J]. Energy, 2022, 238: 121756.

[7] Peng L, Lv S X, Wang L, et al. Effective electricity load forecasting using enhanced double-reservoir echo state network[J]. Engineering Applications of Artificial Intelligence, 2021, 99: 104132.

[8] Peng L, Wang L, Ai X Y, et al. Forecasting tourist arrivals via random forest and long short-term memory[J]. Cognitive Computation, 2021, 13: 125-138.

[9] Wang L, Peng L, Wang S, et al. Advanced backtracking search optimization algorithm for a new joint replenishment problem under trade credit with grouping constraint[J]. Applied Soft Computing, 2020, 86: 105953.

[10] Peng L, Zhu Q, Lv S X, et al. Effective long short-term memory with fruit fly optimization algorithm for time series forecasting[J]. Soft Computing, 2020, 24: 15059-15079.

[11] Peng L, Liu S, Liu R, et al. Effective long short-term memory with differential evolution algorithm for electricity price prediction[J]. Energy, 2018, 162: 1301.

主要荣誉和学术兼职:

获“2023年中国物流学术年会优秀论文奖”二等奖

EI期刊《Data Science and Management》Associate Editor

其他说明：具备管理科学与工程硕士研究生招生资格。