Prediction of power generation and rotor angular speed of a small wind turbine equipped to a controllable duct using artificial neural network and multiple linear regression

Author:

Siavash Nemat Keramat,Ghobadian Barat,Najafi Gholamhassan,Rohani Abbas,Tavakoli Teymur,Mahmoodi Esmail,Mamat Rizalman,mazlan Mohamed

Funder

Tarbiat Modares University

Iran National Science Foundation

Publisher

Elsevier BV

Subject

General Environmental Science,Biochemistry

Reference57 articles.

1. A condition monitoring system for wind turbine generator temperature by applying multiple linear regression model;Abdusamad,2013

2. An artificial neural network‐based condition monitoring method for wind turbines, with application to the monitoring of the gearbox;Bangalore;Wind Energy,2017

3. Energy consumption forecasting in agriculture by artificial intelligence and mathematical models;Bolandnazar;Energy Sources, Part A Recovery, Util. Environ. Eff.,2019

4. Advanced controller research for multi‐MW wind turbines in the UPWIND project;Bossanyi;Wind Energy,2012

5. Wind Energy Handbook;Burton,2011

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