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
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"
Conference_Titel :
Intelligent Systems Design and Applications (ISDA), 2015 15th International Conference on
Electronic_ISBN :
2164-7151
DOI :
10.1109/ISDA.2015.7489246