Assoc.Prof. Ling Xiao, Xuzhou University of Technology, China
Ling Xiao, female, PhD., Associate Professor, Master’s Degree Supervisor, mainly engages in the research and teaching of combination model theory and application, wind speed wind power prediction, electricity load prediction, prediction theory and methods, and machine learning, etc. Up to Jan. 1, 2023, she has published 11 related research papers in the top international journals, including 7 Science Citation Index-Q 1 papers, Science Citation Index-Q2 SCI-level 2 papers, and 1 Social Science Citation Index paper. The total number of citations in the Web of Science Core Collection is more than 200 times, among which the highest cited paper “Combined forecasting models for wind energy forecasting: A case study in China” is cited more than 120 times and selected as ESI Highly Cited Papers. She has presided over and completed 1 national-level project, 1 project of the Chongqing Social Sciences Association, 1 science and technology innovation project in the Chengdu-Chongqing double city economic circle, and 1 science and technology innovation project in the Chongqing Education Commission, as a principal member, she has been involved in 1 national-level project, 1 humanity and social sciences project of the Ministry of Education, one teaching reforming project at the school level, publishes one academic monograph, and participates in the translation of one monograph.
肖玲，女，博士，副教授，硕士生导师，主要从事组合模型理论与应用、风速风电预测、电力负荷预测、预测理论与方法和机器学习等方面的研究与教学，目前已在国际顶尖期刊上发表或参与发表相关论文11篇，其中，SCI一区检索论文7篇，SCI二区检索论文2篇，SSCI检索论文1篇，截止到 2023年 1月 1日，申请人的 Web of Science Core Collection 总被引次数为200余次，其中，Combined forecasting models for wind energy forecasting: A case study in China单篇最高被引次数120余次，入选 ESI 高被引论文（ Highly Cited Papers）。项目申请人主持并完成国家级项目1项，主持完成“成渝双城经济圈科技创新”项目1项，主持完成重庆市教委科技创新项目1项，参与国家级项目1项，教育部人文社科项目1项，主持并完成重庆市社科联项目1项，主持校级教改项目1项，出版学术著作1部，参与译著1部。