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