Adaptive Neuro-Fuzzy Inference Systems as a Strategy for Predicting and Controling the Energy Produced from Renewable Sources

Adaptive Neuro-Fuzzy Inference Systems as a Strategy for Predicting and Controling the Energy Produced from Renewable Sources

The challenge for our paper consists in controlling the performance of the future state of a microgrid with energy produced from renewable energy sources. The added value of this proposal consists in identifying the most used criteria, related to each modeling step, able to lead us to an optimal neu...

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Bibliographic Details
Main Authors: Otilia Elena Dragomir, Florin Dragomir, Veronica Stefan, Eugenia Minca
Format: Article
Language:English
Published: MDPI AG 2015-11-01
Series:Energies
Subjects:
forecasting
neural network
Adaptive Neuro-Fuzzy Inference Systems
renewable energy sources
Online Access:http://www.mdpi.com/1996-1073/8/11/12355

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