DocumentCode :
182946
Title :
NN based support system for renewable energy forecasting
Author :
Dragomir, Otilia Elena ; Dragomir, Florin
Author_Institution :
Comput. Sci. Dept., Valahia Univ. of Targoviste, Targoviste, Romania
fYear :
2014
fDate :
22-24 May 2014
Firstpage :
1
Lastpage :
6
Abstract :
This paper proposes to prosumers a NN based decision support application for selecting an optimal forecasting tool for energy produced from renewable sources. The exploration and the assessment of criteria used for choosing a forecasting tool are made in the neural network (NN) framework. Firstly, the criteria for selecting the best forecasting tool are addressed. Secondly, the identified criteria are integrated in an object oriented software application, built using Matlab-Guide User Interface. In order to underline the effects of the users´ decision making, in the third part, the forecasting performances of feed forward neural networks (FF-NN) are tested and evaluated.
Keywords :
decision support systems; feedforward neural nets; power engineering computing; renewable energy sources; Matlab-Guide User Interface; NN based support system; decision support application; feed forward neural networks; object oriented software application; optimal forecasting tool; renewable energy forecasting; Artificial neural networks; Computer aided software engineering; Forecasting; Neurons; Predictive models; Renewable energy sources; Training; decision support system; distributed systems; feed forward neural network; forecasting; neural network; renewable energy sources;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Automation, Quality and Testing, Robotics, 2014 IEEE International Conference on
Conference_Location :
Cluj-Napoca
Print_ISBN :
978-1-4799-3731-8
Type :
conf
DOI :
10.1109/AQTR.2014.6857913
Filename :
6857913
Link To Document :
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