研究兴趣

1.面向控制的建筑环境系统高效率建模与控制

2.数据驱动的多尺度能量系统建模与控制

3.模型降阶方法在分布式参数系统中的应用研究

4.农业温室系统中的高效建模与调控

主持项目

1.大空间建筑环境低维建模与优化控制策略研究(在研)，江苏省“六大人才高峰”高层次人才项目

2.多参数建筑环境的高效率建模、控制与优化方法研究(在研)，国家自然科学基金面上项目

3.考虑时空变异特性的温室环境低维建模、控制与优化策略(结题)，中国博士后特别资助项目

4.面向控制的温室微气候精确建模及优化方法研究(结题)，中国博士后面上资助项目

5.面向控制的温室微气候快速建模方法研究(结题)，江苏省博士后科研资助计划

6.建筑节能中的热环境建模与优化控制问题(结题)，国家自然科学基金青年基金项目

7.建筑节能中的室内热环境建模与优化控制问题研究(结题)，江苏省自然科学基金青年基金项目

8.江苏大学青年骨干教师培养工程(结题)

代表性论文

~2022年~

23.X. Chen, K. Li. Collective information-based particle swarm optimization for multi-fuel CHP economic dispatch problem. Knowledge-Based Systems, Vol.248, 108902, 2022.(Top)

22.K. Li, J. Zhang, X. Chen, W. Xue*. Building’s hourly electrical load prediction based on data clustering and ensemble learning strategy. Energy and Buildings, Vol.261, 111943, 2022.(Top)

~2021年~

21.K. Li, J. Tian, W. Xue*, G. Tan*. Short-term electricity consumption prediction for buildings using data-driven swarm intelligence based ensemble model. Energy and Buildings, Vol.231, 110558, 2021.(Top)

20.J. Tian, K. Li*, W. Xue. An adaptive ensemble predictive strategy for multiple scale electrical energy usages forecasting. Sustainable Cities and Society, Vol.66, 102654, 2021.

~2020年~

19.K. Li*, Z. Sha, W. Xue, X. Chen, H. Mao, G. Tan. A fast modeling and optimization scheme for greenhouse environmental system using proper orthogonal decomposition and multi-objective genetic algorithm. Computers and Electronics in Agriculture, Vol.168, 105096, 2020.

18.K. Li*, X. Xie, W. Xue, X. Chen. Hybrid teaching-learning artificial neural network for city-level electrical load prediction. Science China-Information Sciences, Vol.63(5), 159204, 2020.

17.K. Li, W. Xue*, G. Tan, AS. Denzer. A state of the art review on the prediction of building energy consumption using data-driven technique and evolutionary algorithms. Building Services Engineering Research & Technology, Vol.41(1), pp.108-127,2020.

16.W. Xue, C. Wang, J. Tian, K. Li*. Hybrid wind power forecasting based on extreme learning machine and improved TLBO algorithm. Journal of Renewable and Sustainable Energy, Vol.12, 053309, 2020.

15.X. Chen, K. Li, B. Xu, Z. Yang. Biogeography-based learning particle swarm optimization for combined heat and power economic dispatch problem. Knowledge-Based Systems, Vol.208, 106463, 2020. (Top)

~2019年~

14.K. Li*, W. Xue, H. Mao, X. Chen, H. Jiang, G. Tan. Optimizing the 3D Distributed Climate inside Greenhouses Using Multi-Objective Optimization Algorithms and Computer Fluid Dynamics. Energies, Vol. 12(15), 2873, 2019.

13.X. Chen, H. Tianfield, K. Li. Self-adaptive differential artificial bee colony algorithm for global optimization problems. Swarm and Evolutionary Computation, Vol.45, 70-91, 2019.

~2018年~

12.K. Li*, X. Xie, W. Xue, X. Dai, X. Chen, X. Yang. A hybrid teaching-learning artificial neural network for building electrical energy consumption prediction. Energy and Buildings, Vol.174, pp.323-334,2018. (Top)

11.K. Li*, W. Xue, C. Xu, H. Mao. A multiple model approach for predictive control of indoor thermal environment with high resolution. Journal of Building Performance Simulation, Vol. 11(2), pp. 164-178, 2018.  

10.X. Chen, B. Xu, C. Mei, Y. Ding, K. Li. Teaching–learning–based artificial bee colony for solar photovoltaic parameter estimation. Applied Energy, Vol.212, 1578-1588, 2018. (Top)

~2017年及以前~

9.K. Li, L. Pan, W. Xue, H. Jiang, H. Mao. Multi-Objective Optimization for Energy Performance Improvement of Residential Buildings: A Comparative Study. Energies. Vol. 10(2), pp. 245:1-23, 2017. 

8.K. Li, W. Xue, G. Liu. Exploring the Environment/Energy Pareto Optimal Front of an Office Room Using Computational Fluid Dynamics-Based Interactive Optimization Method. Energies. Vol. 10(2), pp. 231:1-15, 2017.

7.W. Xue, K. Li*, G.Liu. DDI-based finite-time stability analysis for nonlinear switched systems with time-varying delays. International Journal of Systems Science, Vol.47(12), pp. 3027-3035, 2016.

6.K. Li*, C. Hu, G. Liu, W. Xue. Building's electricity consumption prediction using optimized artificial neural networks and principal component analysis. Energy and Buildings, Vol.108, pp. 106-113, 2015. (Top)

5.W. Xue, K. Li*. Positive finite-time stabilization for discrete-time linear systems. Journal of Dynamic Systems, Measurement, and Control, Vol. 137(1): 014502, 2015.

4.K. Li*, W. Xue, C. Xu, H. Su. Optimization of ventilation system operation in office environment using POD model reduction and genetic algorithm. Energy and Buildings, Vol.67, pp. 34-43, 2013. (Top)

3.K. Li*, H. Su, J. Chu, C. Xu. A fast-POD model for simulation and control of indoor thermal environment of buildings. Building and Environment, Vol. 60, pp. 150-157, 2013. (Top)

2.K. Li*, H. Su, J. Chu. Forecasting building energy consumption using neural networks and hybrid neuro-fuzzy system: A comparative study. Energy and Buildings, Vol. 43(10), pp. 2893-2899, 2011. (Top)

1.K. Li*, H. Su. Forecasting building energy consumption with hybrid genetic algorithm hierarchical adaptive network-based fuzzy inference system. Energy and Buildings, Vol. 42(11), pp. 2070-2076, 2010. (Top)

学术会议

12.W. Xue*, H. Wang, K.Li. PMV inverse model-based indoor thermal environment control for thermal comfort and energy saving. The 41th Chinese Control Conference, Jul, 2022, Hefei, Anhui, China.

11.Y. Zhou, W. Xue*, J. Liu, K.Li. Photovoltaic power prediction based on SVMD-PCA-EL model. The 41th Chinese Control Conference, Jul, 2022, Hefei, Anhui, China.

10.K. Li*, J. Wang, R. Yu, W. Xue. Non-invasive thermal sensation recognition based on human behavior postures in office environment. The 41th Chinese Control Conference, Jul, 2022, Hefei, Anhui, China.

9.W. Zhou, K. Li*, W. Xue, H. Jiang and H. Mao. Multi-objective Optimization of Fan-Pad System Operation for Venlo Greenhouse Using CFD Model based Data Interactive Mechanism. The 36th Chinese Control Conference, Jul, 2017, Dalian, Liaoning, China.

8.L. Pan, K. Li*, W. Xue and G. Liu. Multi-objective Optimization for Building Performance Design Considering Thermal Comfort and Energy Consumption. The 35th Chinese Control Conference, Jul, 2016, Chengdu, Sichuan, China.

7.K. Li, W. Xue and G. Liu. An optimization framework for ventilation system operation in office environment using data interactive mechanism. CLIMA 2016, May, 2016, Aalborg, Denmark.

6.K. Li, W. Xue and G. Liu. A general optimization framework for complex PDE models based on data interactive mechanism. IEEE International Conference on Advanced Intelligent Mechatronics, JUL, 2015, Busan, Korea.

5.C. Hu, K.Li*, G.Liu and L.Pan.  Forecasting building energy consumption based on hybrid PSO-ANN prediction model. The 34st Chinese Control Conference, Jul, 2015, Hangzhou, Zhejiang, China.

4.W. Xue and K. Li*.  Input-output finite-time stability of time-delay systems and its application to active vibration control. IEEE International Conference on Automation Science and Engineering, Aug, 2014, Taipei, Taiwan.

3.K. Li, H. Su and J. Chu. Optimal control strategy of ventilation systems using POD model reduction and genetic algorithm. CLIMA2013, Jun, 2013, Prague, Czekh.

2.K. Li, H. Su and J. Chu. Nonlinear model reduction for simulation and control of temperature distribution in air conditioned rooms. The 31st Chinese Control Conference, Jul, 2012, Hefei, Anhui, China.

1.K. Li, H. Su and J. Chu. A CFD-based test method for control of indoor environment in air conditioned rooms. The 31st Chinese Control Conference, Jul, 2012, Hefei, Anhui, China.

发明专利

[1].李康吉,薛文平,刘国海. 用于改善建筑物内环境的交互式优化方法. 专利号：ZL201510076570.3 （发明专利） 

[2].薛文平,李康吉. 一种基于模型降阶和多模型预测控制的室内热环境控制方法. 专利号： ZL201410199657.5 （发明专利） 

[3].李康吉,薛文平. 一种基于模型降阶技术的建筑室内环境优化方法. 专利号: ZL201210564269.3.（发明专利）

[4].李康吉,薛文平,毛罕平,江辉，周伟.一种venlo型温室环境的高分辨率降阶建模方法 .专利号：201710637629.0.（发明专利）

[5].薛文平,李康吉,陈前，江辉，刘国海.一种汽车主动悬架的有限时间混合控制方法.专利号：ZL 201710129938.7(发明专利）

[6].薛文平,李康吉,刘国海. 一种针对冲击型路面扰动的汽车悬架系统主动控制方法. 专利号：ZL201510076570.3 （发明专利）

[7].李康吉,刘子龙,薛文平,曹霄,于瑞,李笑盈. 一种基于帕尔贴效应的个人热管理方法.公开号：CN112747498A.（发明专利）

[8].李康吉,薛文平,谭刚，曹霄,刘子龙,李笑盈. 一种基于帕尔贴效应的个人热舒适装置及热管理方法.申请号：PCT/CN2021/079741.（PCT专利）

[9].李康吉,薛文平. 建筑能耗预测软件v1.0. 软件著作权号：2015SR012235. 

[10].潘磊, 李康吉. 基于PSO-BP算法的建筑电能耗预测软件v1.0. 软件著作权号：2015SR051766.

论著

1.刘国海, 李康吉, 薛文平. 现场总线Profinet. 北京: 电子工业出版社, 2007.

2.仇保兴(时任住建部部长). 建筑节能与绿色建筑数据库与模型系统导论. 北京: 中国建筑工业出版社, 2011. (编委成员)

3.李康吉. 建筑室内环境建模、控制与优化及能耗预测. 德国: 金琅出版社, 2016.