Energy and environmental systems planning under uncertainty—An inexact fuzzy-stochastic programming approach

In this study, an inexact fuzzy-stochastic energy model (IFS-EM) is developed for planning energy and environmental systems (EES) management under multiple uncertainties. In the IFS-EM, methods of interval parameter fuzzy linear programming (IFLP) and multistage stochastic programming with recourse...

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Veröffentlicht in:	Applied energy Jg. 87; H. 10; S. 3189 - 3211
Hauptverfasser:	Li, Y.F., Li, Y.P., Huang, G.H., Chen, X.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Kidlington Elsevier Ltd 01.10.2010 Elsevier
Schriftenreihe:	Applied Energy
Schlagworte:	Applied sciences Energy Energy and environmental systems Energy and environmental systems Energy policy Fuzzy Integer programming Multistage Optimization Planning Uncertainty Energy economics Energy policy Exact sciences and technology Fuzzy General, economic and professional studies Integer programming Methodology. Modelling Multistage Optimization Planning Uncertainty Integer programming Multistage Uncertainty Energy policy Fuzzy Planning Energy and environmental systems Optimization
ISSN:	0306-2619, 1872-9118
Online-Zugang:	Volltext
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