DocumentCode :
1772699
Title :
A decision support system for renewable energy plant projects
Author :
Dadda, Afaf ; Ouhbi, Ibrahim
Author_Institution :
Lab. of Math. Modeling & Comput., Univ. Moulay Ismail, Moulay Ismail, Morocco
fYear :
2014
fDate :
28-30 May 2014
Firstpage :
356
Lastpage :
362
Abstract :
This paper present a decision support system based on new Multi-Criteria Decision Making-Method. This MCDM is applied to models the selection of a Renewable Energy Plant Project (REPP) as a Multi-Criteria Decision Making (MCDM) problem. The presented approach is based on the combination of the Multi-criteria K-Means algorithm, the preference function and the satisfactory theory. Before the use of this method, exhaustive information about the Renewable Energy sources must be determined, To illustrate how the approach is useful for the REP selection, an experimental study of a real case is conducted. The case study demonstrates the effectiveness and feasibility of the proposed evaluation procedure.
Keywords :
decision making; decision support systems; operations research; power engineering computing; power plants; renewable energy sources; MCDM problem; REPP; decision support system; multicriteria K-means algorithm; multicriteria decision making method; renewable energy plant projects; renewable energy sources; Availability; Clustering algorithms; Decision support systems; Game theory; Mathematical model; Renewable energy sources; Expert System; Life cycle approach; Multi-criteria decision making; Renewable Energy Project; Weighting Methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Next Generation Networks and Services (NGNS), 2014 Fifth International Conference on
Conference_Location :
Casablanca
Print_ISBN :
978-1-4799-6608-0
Type :
conf
DOI :
10.1109/NGNS.2014.6990278
Filename :
6990278
Link To Document :
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