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Comparison Between Neuronal Networks and ANFIS for Wind Speed-Energy Forecasting

  • Helbert EspitiaEmail author
  • Guzmán Díaz
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 657)

Abstract

The generation distributed systems are a good alternative for the reasonable use of energy. Moreover, neuronal networks are an appropriate option for modeling and control of nonlinear complex systems. The eolian energy has shown to be an alternative for electric power generation, even though it also presents limitations for proper management due to associated variations to weather conditions which affect wind speed. In this paper, considering the characteristics present in wind power, neuronal and neuro-fuzzy systems are suggested for the prediction of wind velocity associated whit wind power. The results show an adequate performance of neuro-fuzzy systems for forecasting of wind speed.

Keywords

Forecasting Fuzzy systems Neuro-fuzzy Neuronal networks Wind power 

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Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  1. 1.Universidad Distrital Francisco José de CaldasBogotáColombia
  2. 2.Universidad de OviedoOviedoSpain

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