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- W2039326345 abstract "In this study, aninterval probability-based inexact two-stage stochastic (IP-ITSP) model isdeveloped for environmental pollutants control and greenhouse gas (GHG)emissions reduction management in regional energy system under uncertainties.In the IP-ITSP model, methods of interval probability, interval-parameter programming(IPP) and two-stage stochastic programming (TSP) are introduced into an integerprogramming framework; the developed model can tackle uncertainties describedin terms of interval values and interval probability distributions. Thedeveloped model is applied to a case of planning GHG -emission mitigation in aregional electricity system, demonstrating that IP-ITSP is applicable toreflecting complexities of multi-uncertainty, and capable of addressing theproblem of GHG-emission reduction. 4 scenarios corresponding to different GHG-emission mitigation levels are examined; the results indicates that the modelcould help decision makers identify desired GHG mitigation policies undervarious economic costs and environmental requirements." @default.
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- W2039326345 date "2013-01-01" @default.
- W2039326345 modified "2023-10-01" @default.
- W2039326345 title "An Interval Probability-based Inexact Two-stage Stochastic Model for Regional Electricity Supply and GHG Mitigation Management under Uncertainty" @default.
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- W2039326345 doi "https://doi.org/10.4236/epe.2013.54b157" @default.
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