Wind power conversion system model identification using adaptive neuro-fuzzy inference systems: A case study

Author:

Bilal BoudyORCID,Adjallah Kondo HloindoORCID,Sava AlexandreORCID,Yetilmezsoy KaanORCID,Kıyan Emel

Funder

Islamic Development Bank

Publisher

Elsevier BV

Subject

General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering

Reference34 articles.

1. A hybrid technique for short-term wind speed prediction;Jianming;Energy,2015

2. Wind turbine power output prediction model design based on artificial neural networks and climatic spatiotemporal data;Bilal,2018

3. Neuro-fuzzy and soft computing-A computational approach to learning and machine intelligence;Jang,1997

4. Neuro-fuzzy modeling and control;Jang;Proc IEEE,1995

5. Prediction of wind speed and wind direction using artificial neural network, support vector regression and adaptive neuro-fuzzy inference system;Khosravi;Sustain Energy Technol Assess,2018

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