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Interval-fuzzy stochastic optimization for regional energy systems planning and greenhouse-gas emission management under uncertainty—a case study for the Province of Ontario, Canada

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  • Q. Lin
  • G. Huang

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  • Q. Lin & G. Huang, 2011. "Interval-fuzzy stochastic optimization for regional energy systems planning and greenhouse-gas emission management under uncertainty—a case study for the Province of Ontario, Canada," Climatic Change, Springer, vol. 104(2), pages 353-378, January.
    • Handle: RePEc:spr:climat:v:104:y:2011:i:2:p:353-378
    DOI: 10.1007/s10584-009-9795-8
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    1. Sadeghi, Mehdi & Mirshojaeian Hosseini, Hossein, 2006. "Energy supply planning in Iran by using fuzzy linear programming approach (regarding uncertainties of investment costs)," Energy Policy, Elsevier, vol. 34(9), pages 993-1003, June.
    2. Henning, Dag & Amiri, Shahnaz & Holmgren, Kristina, 2006. "Modelling and optimisation of electricity, steam and district heating production for a local Swedish utility," European Journal of Operational Research, Elsevier, vol. 175(2), pages 1224-1247, December.
    3. Ruszczynski, Andrzej & Swietanowski, Artur, 1997. "Accelerating the regularized decomposition method for two stage stochastic linear problems," European Journal of Operational Research, Elsevier, vol. 101(2), pages 328-342, September.
    4. J. Forrest & J. Tomlin, 2007. "Branch and bound, integer, and non-integer programming," Annals of Operations Research, Springer, vol. 149(1), pages 81-87, February.
    5. Grohnheit, Poul Erik & Gram Mortensen, Bent Ole, 2003. "Competition in the market for space heating. District heating as the infrastructure for competition among fuels and technologies," Energy Policy, Elsevier, vol. 31(9), pages 817-826, July.
    6. Khella, Anwar Farid Agaybi, 1997. "Egypt : Energy planning policies with environmental considerations," Energy Policy, Elsevier, vol. 25(1), pages 105-115, January.
    7. Lin, Q.G. & Huang, G.H. & Bass, B. & Qin, X.S., 2009. "IFTEM: An interval-fuzzy two-stage stochastic optimization model for regional energy systems planning under uncertainty," Energy Policy, Elsevier, vol. 37(3), pages 868-878, March.
    8. Cormio, C. & Dicorato, M. & Minoia, A. & Trovato, M., 2003. "A regional energy planning methodology including renewable energy sources and environmental constraints," Renewable and Sustainable Energy Reviews, Elsevier, vol. 7(2), pages 99-130, April.
    9. Borges, Ana Rosa & Antunes, Carlos Henggeler, 2003. "A fuzzy multiple objective decision support model for energy-economy planning," European Journal of Operational Research, Elsevier, vol. 145(2), pages 304-316, March.
    10. John R. Birge, 1985. "Decomposition and Partitioning Methods for Multistage Stochastic Linear Programs," Operations Research, INFORMS, vol. 33(5), pages 989-1007, October.
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    Cited by:

    1. Zhou, Xiong & Huang, Guohe & Zhu, Hua & Chen, Jiapei & Xu, Jinliang, 2015. "Chance-constrained two-stage fractional optimization for planning regional energy systems in British Columbia, Canada," Applied Energy, Elsevier, vol. 154(C), pages 663-677.
    2. Li, G.C. & Huang, G.H. & Lin, Q.G. & Zhang, X.D. & Tan, Q. & Chen, Y.M., 2011. "Development of a GHG-mitigation oriented inexact dynamic model for regional energy system management," Energy, Elsevier, vol. 36(5), pages 3388-3398.
    3. Xie, Y.L. & Xia, D.H. & Ji, L. & Zhou, W.N. & Huang, G.H., 2017. "An inexact cost-risk balanced model for regional energy structure adjustment management and resources environmental effect analysis-a case study of Shandong province, China," Energy, Elsevier, vol. 126(C), pages 374-391.
    4. Gaiqiang Yang & Ping Guo & Mo Li & Shiqi Fang & Liudong Zhang, 2016. "An Improved Solving Approach for Interval-Parameter Programming and Application to an Optimal Allocation of Irrigation Water Problem," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(2), pages 701-729, January.
    5. Gaiqiang Yang & Ping Guo & Mo Li & Shiqi Fang & Liudong Zhang, 2016. "An Improved Solving Approach for Interval-Parameter Programming and Application to an Optimal Allocation of Irrigation Water Problem," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(2), pages 701-729, January.
    6. Li, G.C. & Huang, G.H. & Sun, W. & Ding, X.W., 2014. "An inexact optimization model for energy-environment systems management in the mixed fuzzy, dual-interval and stochastic environment," Renewable Energy, Elsevier, vol. 64(C), pages 153-163.
    7. Jin, L. & Huang, G.H. & Fan, Y.R. & Wang, L. & Wu, T., 2015. "A pseudo-optimal inexact stochastic interval T2 fuzzy sets approach for energy and environmental systems planning under uncertainty: A case study for Xiamen City of China," Applied Energy, Elsevier, vol. 138(C), pages 71-90.
    8. Liu, M. & Huang, G.H. & Liao, R.F. & Li, Y.P. & Xie, Y.L., 2013. "Fuzzy two-stage non-point source pollution management model for agricultural systems—A case study for the Lake Tai Basin, China," Agricultural Water Management, Elsevier, vol. 121(C), pages 27-41.
    9. Niknam, Taher & Narimani, Mohammad rasoul & Jabbari, Masoud & Malekpour, Ahmad Reza, 2011. "A modified shuffle frog leaping algorithm for multi-objective optimal power flow," Energy, Elsevier, vol. 36(11), pages 6420-6432.
    10. Jin, S.W. & Li, Y.P. & Nie, S. & Sun, J., 2017. "The potential role of carbon capture and storage technology in sustainable electric-power systems under multiple uncertainties," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 467-480.

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