基本信息：
王平，女，副教授，博士研究生，山西大学，生态学；自然地理学；大气环境建模；硕士研究生导师；数据挖掘与机器学习。
科研成果：
（一）论文：
[1] Ping Wang, Yong Liu*，Zuodong Qin and Guisheng Zhang, A novel hybrid forecasting model for PM10 and SO2 daily concentrations[J], Science of the Total Environment, 2015, (2):1202-1212.
[2] Ping Wang, Hong Zhang*，Zuodong Qin and Guisheng Zhang, A novel hybrid-Garch model based on ARIMA and SVM for PM2.5 concentrations forecasting[J], Atmospheric Pollution Research，2017(8):850-860.
[3] Ping Wang*, Guisheng Zhang, Feng Chen, Yue He,A hybrid-wavelet model applied for forecasting PM2.5 concentrations in Taiyuan city, China[J], Atmospheric Pollution Research, 2019,10(6), 10: 1884–1894.
[4] Ping Wang*, Hongyinping Feng, Guisheng Zhang and Daizong Yu, A Period-Aware Hybrid Model Applied for Forecasting AQI Time Series[J], Sustainability, 2020, 12:1-15.
[5] Ping Wang*, Xuran He, Hongyinping Feng, Guisheng Zhang and Chenglu Rong, A Hybrid Model for PM2.5 Concentration Forecasting Based on Neighbor Structural Information, a Case in North China[J], Sustainability, 2021,13.
[6] Ping Wang*, Hongyinping Feng, Xu Bi, Yongyong Fu, Xuran He, Guisheng Zhang, Jiawei Niu, Phase objectives analysis for PM2.5 reduction using dynamics forecasting approach under different scenarios of PGDP decline[J], Ecological Indicators, 2021,129: 108003.
[7] 王平, 张红*, 秦作栋, 基于wavelet-SVM的PM10浓度时序数据预测[J], 环境科学, 2017, 38(8):3153-3161.
（二）项目：
[1]基于人工智能统计方法的PM2.5时序预测研究，国家社会科学基金，主持。
[2]山西省PM2.5浓度分阶段改善目标情况分析，山西省软科学，主持。
（三）专著：
基于数据特征的大气污染物浓度预测模型研究，中国水利水电出版社,2019。
