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- W4292830593 endingPage "124956" @default.
- W4292830593 startingPage "124956" @default.
- W4292830593 abstract "In this study, the realizability of the MENR's Vision-2023 goals is questioned under the contradictory objectives of minimum cost, minimum emission, maximum capacity factor and maximum resource potential. This is a goal-oriented programming problem with uncertain objectives. While the decision maker (DM) can determine the goals he wants to attain in this problem, he also has undefined goals (such as cost minimization) that constrain his ability to fulfill these goals. The GP-FMO model was proposed to model such a problem. The resulting model was solved by classical LP and non-dominated genetic algorithm II (NSGA II). The solution found using the classical LP is only one of the feasible solution alternatives. The non-dominated points on the Pareto efficient set obtained by the NSGA II Algorithm were presented to the decision makers as solution possibilities based on the common satisfaction levels of the uncertain goals. Prioritization of energy resources, regional allocation, and capacity increase planning were all combined in this study. All resources in Turkey's energy supply systems were discussed. The findings provide a multidimensional perspective for energy investments." @default.
- W4292830593 created "2022-08-24" @default.
- W4292830593 creator A5007830257 @default.
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- W4292830593 date "2022-12-01" @default.
- W4292830593 modified "2023-10-18" @default.
- W4292830593 title "Energy planning based on Vision-2023 of Turkey with a goal programming under fuzzy multi-objectives" @default.
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- W4292830593 doi "https://doi.org/10.1016/j.energy.2022.124956" @default.
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