主持完成的项目：

1.大数据时代雾霾污染经济损失评估及防治对策研究，国家社会科学基金重大项目，2018-2023，在研，主持。

2.大规模风电并网管理中的风能资源评估与预测研究，国家自然科学基金面上项目，2017-2020，主持。

3.基于群智能优化算法的大型风电场的风能资源评估与预测，中国科学院大气物理研究所，2017-2018，主持。

专利、软著、地方标准成果:

1. 专著,基于群智能优化算法的预测理论与方法的研究及应用, 科学出版社2020年(1/4)

2. 专著,基于变权重的组合预测方法理论与应用, 电子工业出版社(2/3)

3. 软件著作权,基于模糊理论和人工智能优化技术的石油进口依存度预警系统, 2019年8月8日(1/3)

4. 软件著作权,基于模糊理论与人工智能算法的空气质量预警系统, 2019年8月8日(1/3)

5. 软件著作权,基于信息优化技术的旅游需求智能预报系统, 2019年8月8日(2/3)

6. 软件著作权,基于智能优化算法的风电场风速预报系统, 2019年8月12日(2/3)

科研情况

王建州教授学术生涯共发表学术论文290余篇，并在多个领域做出了有影响力的研究。近五年多来发表SCI/SSCI检索论文130余篇，绝大部分发表在国际一流学术期刊。王建州教授H指数68，论文引用次数13600余次，6篇学术论文被美国ISI Web of science 基本科学指标(Essential Science Indicators) ESI列为领域学科的热点论文，进入前Top 1‰;44篇学术论文被美国ISI Web of science 基本科学指标(Essential Science Indicators) ESI列为领域学科的高被引论文(Highly Cited Papers)和研究前沿，进入前Top 1%。

王建州教授获国务院政府特殊津贴，并连续三年入选科睿唯安(Clarivate)全球高被引科学家跨学科领域和工程学榜单、连续三年入选爱思唯尔(Elsevier)中国高被引学者数学和统计学榜单及入选斯坦福大学“全球前2%顶尖科学家榜单”终生科学影响力排行榜与年度科学影响力排行榜。

近五年发表论文及专著：

1. Research and application of the hybrid forecasting model based on secondary denoising and multi-objective optimization for air pollution early warning system (doi.org/10.1016/j.jclepro.2019.06.201), SCI一区, Journal of Cleaner Production, 10/2019, 1/4.

2. Intelligent multivariable air-quality forecasting system based on feature selection and modified evolving interval type-2 quantum fuzzy neural network(doi.org/10.1016/j.envpol.2021.116429), SCI一区, Environmental Pollution, 4/2021, 1/4.

3. Wind speed deterministic forecasting and probabilistic interval forecasting approach based on deep learning, modified tunicate swarm algorithm, and quantile regression(doi.org/10.1016/J.RENENE.2021.07.113), SCI一区, Renewable Energy, 12/2021, 1/3.

4. Hour-ahead photovoltaic generation forecasting method based on machine learning and multi objective optimization algorithm(doi.org/10.1016/j.apenergy.2022.118725), SCI一区, Applied Energy, 4/2022, 1/3.

5. The influence of international oil prices on the exchange rates of oil exporting countries: Based on the hybrid copula function(doi.org/10.1016/j.resourpol.2022.102734), SSCI一区, Resources Policy, 8/2022, 1/5.

6. Ensemble forecasting system based on decomposition-selection-optimization for point and interval carbon price prediction(https://doi.org/10.1016/j.apm.2022.09.004), SCI一区, Applied Mathematical Modelling, 1/2023, 1/5.

7. Forecasting Day-ahead Electricity Price Using a Hybrid Improved Approach(https://doi.org/10.5370/JEET.2017.12.6.2166) , SCI, Journal of Electrical Engineering and Technology,8/2017,2/2.

8. Point and interval forecasting for metal prices based on variational mode decomposition and an optimized outlier-robust extreme learning machine(doi.org/10.1016/j.resourpol.2020.101881) , SSCI一区, Resources Policy,9/2020,2/4.

9. Comparison of the goodness-of-fit of intelligent-optimized wind speed distributions and calculation in high-altitude wind-energy potential assessment(doi.org/10.1016/j.enconman.2021.114737) , SCI一区, Energy Conversion and Management, 9/2021,2/3.

10. Wind Power Curve Modeling with Hybrid Copula and Grey Wolf Optimization(doi.org/ 10.1109/TSTE.2021.3109044) , SCI一区, IEEE Transactions on Sustainable Energy, 9/2021,2/4.

11. A multivariable hybrid prediction system of wind power based on outlier test and innovative multi-objective optimization (doi.org/10.1016/j.energy.2021.122333) , SCI一区, Energy, 10/2021,2/4.

12. Air quality deterministic and probabilistic forecasting system based on hesitant fuzzy sets and nonlinear robust outlier correction (doi.org/10.1016/j.knosys.2021.107789) , SCI一区, Knowledge-Based Systems,12/2021,2/4.

13. Combined water quality forecasting system based on multi-objective optimization and improved data decomposition integration strategy (10.1002/for.2905) , SSCI二区, Journal of Forecasting,8/2022,2/3.

14. What Should Lenders Be More Concerned About? Developing A Profit-driven Loan Default Prediction Model (https://doi.org/10.1016/j.eswa.2022.118938), SCI一区, Expert Systems with Applications,9/2022,2/3.

15. A Novel Framework of Reservoir Computing for Deterministic and Probabilistic Wind Power Forecasting, SCI一区, IEEE Transactions on Sustainable Energy, 2020, 2/6.

16. A Learning System Integrating Temporal Convolution and Deep Learning for Predictive Modeling of Crude Oil Price, SCI一区, IEEE Transactions on Industrial Informatics, 2021,2/5.

17. WPFSAD: Wind Power Forecasting System Integrating Dual-Stage Attention and Deep Learning, SCI一区, IEEE Transactions on Industrial Informatics ( Early Access ), 2023, 2/4.

2011年荣获中国大学生数学建模优秀指导教师奖(国家级);

“挑战杯”大学生创业大赛优秀指导教师奖(省级);

金沙城线路检测中心大学生创新创业行动计划优秀指导教师奖(校级);

2013年甘肃省教学成果教育厅奖励;

2013年金沙城线路检测中心教学成果一等奖;

江西省自然科学三等奖;

2008-2014年作为金沙城线路检测中心数学建模总教练指导本科生共获数学建模竞赛奖197项，其中： 1)获得美国大学生数学建模比赛一等奖18项、二等奖38项;2)获得全国大学生数学建模竞赛一等奖6项，二等奖28项，甘肃省特等奖39项，其余奖项60余项。

近十五年来指导诺贝尔奖金获得者李政道资助的“君政学者”6名、台湾清华大学“君政学者”1名，并指导本科生在数学、物理、工程技术及管理科学国际一流学术期刊发表SSCI/SCI检索论文29篇，其中：SCI(JCR分区Q1)检索论文17篇、SCI(JCR分区Q2)10篇、SCI(JCR分区Q3)2篇。