个人简历

教育经历
武汉科技大学：学士
华中科技大学：硕士
加拿大里贾纳大学（University of Regina）：硕士
加拿大里贾纳大学（University of Regina）：博士
工作经历
北京师范大学环境学院，教授/博导
华北电力大学资源与环境研究院，教授/博导/常务副院长

研究领域

资源与环境系统分析，具体包括：环境系统分析、水资源水环境管理、能源系统规划与模型、环境污染控制、环境风险分析、区域气候模型等

近期论文

Gong, J.W., Li, Y.P., Suo, C. (2019) Full-infiniteinterval two-stage credibility constrained programming for electric powersystem management by considering carbon emission trading. InternationalJournal of Electrical Power andEnergy Systems (Elsevier; SCI IF = 3.610),105:440-453.
Lv, J., Li, Y.P., Shan, B.G., Jin, S.W., Suo, C. (2018) Planningenergy-water nexus system under multiple uncertainties - A case study of Hebeiprovince. Applied Energy (Elsevier; SCIIF = 7.900), 229:389-403.
Lv, J.P., Li, Y.P., Sun, J. (2018) Monte Carlo simulation based intervalchance-constrained programming for regional ecosystem management - A case studyof Zhuhai, China. Ecological Indicators (Elsevier; SCI IF = 3.983), 85:214-228.
Zhuang, X.W., Li, Y.P., Nie, S., Fan, Y.R., Huang, G.H. (2018) Analyzing climatechange impacts on water resources under uncertainty using an integratedsimulation-optimization approach. Journal of Hydrology (Elsevier; SCI IF = 3.727),556:523-538.
Yu, L., Li, Y.P., Huang, G.H., Fan, Y.R., Nie, S. (2018) A copula-basedflexible-stochastic programming method for planning regional energy systemunder multiple uncertainties: A case study of the urban agglomeration ofBeijing and Tianjin. Applied Energy (Elsevier;SCI IF = 7.900), 210:60-74.
Yu, L., Li, Y.P., Huang, G.H., Fan, Y.R., Yin, S. (2018) Planningregional-scale electric power systems under uncertainty: A case study ofJing-Jin-Ji region, China. Applied Energy (Elsevier;SCI IF = 7.900), 212:834-849.
Yu, L., Li, Y.P., Shan, B.G., Huang, G.H., Xu, L.P. (2018) A scenario-basedinterval-stochastic basic-possibilistic programming method for planningsustainable energy system under uncertainty: A case study of Beijing, China. Journalof Cleaner Production (Elsevier; SCI IF = 5.651), 197:1454-1471.
Jin, S.W., Li, Y.P., Xu, L.P. (2018) Development of an integrated model forenergy systems planning and carbon dioxide mitigation under uncertainty –Tradeoffs between two-level decision makers. Environmental Research (Elsevier; SCI IF = 4.732), 164:367-378.
Jin, S.W., Li, Y.P., Nie, S. (2018) An integrated bi-level optimization modelfor air quality management of Beijing’s energy system under uncertainty. Journalof Hazardous Materials (Elsevier; SCI IF= 6.434), 350:27-37.
Jin, S.W., Li, Y.P., Huang, G.H., Nie, S. (2018) Analyzing the performance ofclean development mechanism for electric power systems under uncertainenvironment. Renewable Energy (Elsevier;SCI IF = 4.900), 123:382-397
Li, Q.Q., Li, Y.P., Huang, G.H., Wang, C.X. (2018) Risk aversion basedinterval stochastic programming approach for agricultural water managementunder uncertainty. Stochastic Environmental Research and Risk Assessment (Springer; SCI IF = 2.668), 32:715-732.
Sun, J., Li, Y.P., Zhuang, X.W., Jin, S.W., Huang, G.H., Feng, R.F. (2018) Identifyingwater resources management strategies in adaptation to climate change underuncertainty. Mitigation and Adaptation Strategies for Global Change (Springer; SCI IF = 2.585), 23:553–578.
Sun, J., Li, Y.P., Gao, P.P., Suo, C., Xia, B.C. (2018) Analyzing urbanecosystem variation in the City of Dongguan: A stepwise cluster modelingapproach. Environmental Research (Elsevier;SCI IF = 4.732), 166:276-289.
Sun, J., Li, Y.P., Gao, P.P., Xia, B.C. (2018) A Mamdani fuzzy inferenceapproach for assessing ecological security in the Pearl River Delta urbanagglomeration, China. Ecological Indicators (Elsevier; SCI IF = 3.983) 94:386-396
Suo, C., Li, Y.P., Sun, J., Yin, S. (2018) An air quality index-basedmultistage type-2-fuzzy interval-stochastic programming model for energy andenvironmental systems management under multiple uncertainties. EnvironmentalResearch (Elsevier; SCI IF = 4.732),167:98-114.
Gao, P.P., Li, Y.P., Sun, J., Huang, G.H. (2018) A Monte-Carlo-based intervalDe Novo programming method for optimal system design under uncertainty. EngineeringApplications of Artificial Intelligence (Elsevier; SCI IF = 2.819), 72:30-42.
Gao, P.P., Li, Y.P., Sun, J., Li, H.W. (2018) Coupling fuzzy multipleattribute decision-making with analytic hierarchy process to evaluate urbanecological security: A case study of Guangzhou, China. Ecological Complexity(Elsevier; SCI IF =2.044), 34:23-34.
Wang, C.X., Li, Y.P., Zhuang, X.W. (2018) Conjunctive water management undermultiple uncertainties: A centroid-based type-2 fuzzy-probabilistic programmingapproach. Engineering Applications of Artificial Intelligence (Elsevier; SCI IF= 2.819), 72:437-448.
Cheng, H.C., Li, Y.P., Sun, J. (2018) Interval double-sided fuzzy chance-constrainedprogramming model for water resources allocation. Environmental EngineeringScience ((MaryAnn Liebert Inc., SCI IF = 1.547),35(6):525-544.
Guo, J.H., Huang, G.H., Wang, X.Q., Li, Y.P., Lin, Q.G. (2018) Dynamically-downscaledprojections of changes in temperature extremes over China. Climate Dynamics (Springer;SCI IF = 4.146), 50(3-4):1045-1066.