DocumentCode :
1781712
Title :
Intelligent decision support for Renewable Energy Providers
Author :
Stanescu, Ioana Andreea ; Stefan, Antoniu ; Stefan, Dumitru ; Dragomir, Florin ; Olariu, Nicolae ; Dragomir, Otilia
Author_Institution :
Adv. Technol. Syst., Targoviste, Romania
fYear :
2014
fDate :
3-5 Nov. 2014
Firstpage :
488
Lastpage :
492
Abstract :
Renewable Energy Sources (RES) have evolved into an international success story. Even if, based on the policy and legislative support from the European Commission and national governments, the number of Renewable Energy Providers (REP) has increased substantially, RES are far from being readily usable. Numerous factors limit their efficiency. This paper discusses the emergence of supporting technologies that increase the performance of REP and present as a solution a cloud-based intelligent decision support and control system for low voltage power grids with distributed generation from RES.
Keywords :
cloud computing; decision making; distributed power generation; power engineering computing; renewable energy sources; REP; RES; cloud-based intelligent decision support; distributed generation; low voltage power grids; renewable energy providers; renewable energy sources; Artificial intelligence; Decision making; Energy consumption; Knowledge management; Low voltage; Monitoring; Renewable energy sources; cloud services; control; decision-making; renewable energy; serious games;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Decision and Information Technologies (CoDIT), 2014 International Conference on
Conference_Location :
Metz
Type :
conf
DOI :
10.1109/CoDIT.2014.6996942
Filename :
6996942
Link To Document :
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