DocumentCode
3776499
Title
Towards an Intelligent Decision Support System for Renewable Energy management
Author
Hamza Sellak;Brahim Ouhbi;Bouchra Frikh
Author_Institution
LM2I laboratory, ENSAM, Moulay Ismail University, Marjane II, B.P. 4024, Meknes, Morocco
fYear
2015
Firstpage
319
Lastpage
324
Abstract
Renewable Energy (RE) field provides significant new challenges for research in Intelligent Decision Support Systems (IDSS) since decision-making process requires more intelligent algorithms and mechanisms that can solve complex problems involving a large number of stakeholders in an uncertainty, dynamic, and distributed environment. In this paper, we present an intelligent RE-DSS framework to facilitate the decision-making process for the planning and designing intelligent Renewable Energy Management Systems. The framework offers a widespread adoption of more intelligent components in classical RE-DSS that will eventually lead to more efficient decision-making in all levels of RE projects management.
Keywords
"Silicon","Decision support systems","Monitoring","Biomedical monitoring","Artificial neural networks","Information exchange","Databases"
Publisher
ieee
Conference_Titel
Intelligent Systems Design and Applications (ISDA), 2015 15th International Conference on
Electronic_ISBN
2164-7151
Type
conf
DOI
10.1109/ISDA.2015.7489246
Filename
7489246
Link To Document