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Energy Sources, Part A: Recovery, Utilization, and Environmental Effects Volume 30, 2008 - Issue 14-15
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Original Articles

ICCSIP: An Inexact Chance-Constrained Semi-infinite Programming Approach for Energy Systems Planning under Uncertainty

P. Guo Environmental Systems Engineering Program, University of Regina, Regina, Saskatchewan, Canada
,
G. H. Huang Department of Civil and Environmental Engineering, University of Waterloo, Waterloo, Ontario, Canada
,
L. He Environmental Systems Engineering Program, University of Regina, Regina, Saskatchewan, Canada
&
Y. P. Cai Environmental Systems Engineering Program, University of Regina, Regina, Saskatchewan, Canada; Chinese Research Academy of Environmental Science, Beijing Normal University, Beijing, China
Pages 1345-1366 | Published online: 18 Jun 2008

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Battula Amrutha Raju & Vuddanti Sandeep. (2023) A chance constraint microgrid energy management with phase balancing using electric vehicle demand aggregation. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 45:1, pages 111-139.
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X.H. Nie, G.H. Huang, Y.P. Li & L. Liu. (2014) Interval Fuzzy Robust Dynamic Programming for Nonrenewable Energy Resources Management with Chance Constraints. Energy Sources, Part B: Economics, Planning, and Policy 9:4, pages 425-441.
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Ajay Singh. (2019) Managing the uncertainty problems of municipal solid waste disposal. Journal of Environmental Management 240, pages 259-265.
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Gongchen Li, Wei Sun, Guo H. Huang, Ying Lv, Zhenfang Liu & Chunjiang An. (2018) Planning of integrated energy-environment systems under dual interval uncertainties. International Journal of Electrical Power & Energy Systems 100, pages 287-298.
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Gongchen Li, Wei Sun, Ying Lv, Guanhui Cheng, Yumin Chen & Guo H. Huang. (2017) Interval joint-probabilistic chance-constrained programming with two-side multi-randomness: an application to energy-environment systems management. Stochastic Environmental Research and Risk Assessment 32:7, pages 2093-2110.
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C.B. Wu, G.H. Huang, Z.P. Liu, J.L. Zhen & J.G. Yin. (2017) Scenario analysis of carbon emissions' anti-driving effect on Qingdao's energy structure adjustment with an optimization model, Part II: Energy system planning and management. Journal of Environmental Management 188, pages 120-136.
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W. Li, S. X. Liu, Z. H. Fu, H. D. Shi & Y. L. Xie. (2015) A Novel Inexact Two-Stage Stochastic Robust-Compensation Model for Electric Supply Environmental Management Under Uncertainty. Journal of Energy Resources Technology 137:6.
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Y. Lv, X.D. Yan, W. Sun & Z.Y. Gao. (2015) A risk-based method for planning of bus–subway corridor evacuation under hybrid uncertainties. Reliability Engineering & System Safety 139, pages 188-199.
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Mo Li & Ping Guo. (2015) A coupled random fuzzy two-stage programming model for crop area optimization—A case study of the middle Heihe River basin, China. Agricultural Water Management 155, pages 53-66.
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L. Ji, D. X. Niu, G. H. Huang, W. Li & Z. P. Liu. (2015) Environmental and Economic Optimization Model for Electric System Planning in Ningxia, China: Inexact Stochastic Risk-Aversion Programming Approach. Mathematical Problems in Engineering 2015, pages 1-17.
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Y.L. Xie, G.H. Huang, W. Li & L. Ji. (2014) Carbon and air pollutants constrained energy planning for clean power generation with a robust optimization model—A case study of Jining City, China. Applied Energy 136, pages 150-167.
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Mo Li & Ping Guo. (2014) A multi-objective optimal allocation model for irrigation water resources under multiple uncertainties. Applied Mathematical Modelling 38:19-20, pages 4897-4911.
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Ping GuoXiaoling WangHua ZhuMo Li. (2014) Inexact Fuzzy Chance-Constrained Nonlinear Programming Approach for Crop Water Allocation under Precipitation Variation and Sustainable Development. Journal of Water Resources Planning and Management 140:9.
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Ping Guo, Xiaohong Chen, Mo Li & Jianbing Li. (2013) Fuzzy chance-constrained linear fractional programming approach for optimal water allocation. Stochastic Environmental Research and Risk Assessment 28:6, pages 1601-1612.
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G.C. Li, G.H. Huang, W. Sun & X.W. Ding. (2014) An inexact optimization model for energy-environment systems management in the mixed fuzzy, dual-interval and stochastic environment. Renewable Energy 64, pages 153-163.
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L. Jin, G.H. Huang, D. Cong & Y.R. Fan. (2014) A Robust Inexact Joint-optimal α cut Interval Type-2 Fuzzy Boundary Linear Programming (RIJ-IT2FBLP) for energy systems planning under uncertainty. International Journal of Electrical Power & Energy Systems 56, pages 19-32.
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D. Y. MiaoY. P. LiG. H. HuangZ. F. YangC. H. Li. (2014) Optimization Model for Planning Regional Water Resource Systems under Uncertainty. Journal of Water Resources Planning and Management 140:2, pages 238-249.
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M. Li, P. Guo, G. Q. Yang & S. Q. Fang. (2013) IB-ICCMSP: An Integrated Irrigation Water Optimal Allocation and Planning Model Based on Inventory Theory under Uncertainty. Water Resources Management 28:1, pages 241-260.
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Y. Zhu, Y.P. Li, G.H. Huang & D.Z. Fu. (2013) Modeling for planning municipal electric power systems associated with air pollution control – A case study of Beijing. Energy 60, pages 168-186.
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Y. Zhu, G.H. Huang, L. He & L.Z. Zhang. (2012) An interval full-infinite programming approach for energy systems planning under multiple uncertainties. International Journal of Electrical Power & Energy Systems 43:1, pages 375-383.
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Gongchen Li, Guohe Huang, Qianguo Lin, Yanpeng Cai, Yumin Chen & Xiaodong Zhang. (2012) Development of an interval multi-stage stochastic programming model for regional energy systems planning and GHG emission control under uncertainty. International Journal of Energy Research 36:12, pages 1161-1174.
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Miguel Ángel Goberna. (2011) Comments on: Stability in linear optimization and related topics. A personal tour. TOP 20:2, pages 245-249.
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Y. Zhu, Y.P. Li & G.H. Huang. (2012) Planning municipal-scale energy systems under functional interval uncertainties. Renewable Energy 39:1, pages 71-84.
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M.W. Li, Y.P. Li & G.H. Huang. (2011) An interval-fuzzy two-stage stochastic programming model for planning carbon dioxide trading under uncertainty. Energy 36:9, pages 5677-5689.
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Y. Zhu, G.H. Huang, Y.P. Li, L. He & X.X. Zhang. (2011) An interval full-infinite mixed-integer programming method for planning municipal energy systems – A case study of Beijing. Applied Energy 88:8, pages 2846-2862.
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Peter M. Verderame, Josephine A. Elia, Jie Li & Christodoulos A. Floudas. (2010) Planning and Scheduling under Uncertainty: A Review Across Multiple Sectors. Industrial & Engineering Chemistry Research 49:9, pages 3993-4017.
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P. Guo & G.H. Huang. (2010) Interval-parameter semi-infinite fuzzy-stochastic mixed-integer programming approach for environmental management under multiple uncertainties. Waste Management 30:3, pages 521-531.
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W.T. Chen, Y.P. Li, G.H. Huang, X. Chen & Y.F. Li. (2010) A two-stage inexact-stochastic programming model for planning carbon dioxide emission trading under uncertainty. Applied Energy 87:3, pages 1033-1047.
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P. Guo & G.H. Huang. (2009) Inexact fuzzy-stochastic mixed integer programming approach for long-term planning of waste management–––Part B: Case study. Journal of Environmental Management 91:2, pages 441-460.
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P. Guo & G.H. Huang. (2009) Inexact fuzzy-stochastic mixed-integer programming approach for long-term planning of waste management – Part A: Methodology. Journal of Environmental Management 91:2, pages 461-470.
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P. Guo, G. H. Huang, L. He & H. Zhu. (2008) Interval-parameter Two-stage Stochastic Semi-infinite Programming: Application to Water Resources Management under Uncertainty. Water Resources Management 23:5, pages 1001-1023.
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