A Combined Fuzzy GMDH Neural Network and Grey Wolf Optimization Application for Wind Turbine Power Production Forecasting Considering SCADA Data

A Combined Fuzzy GMDH Neural Network and Grey Wolf Optimization Application for Wind Turbine Power Production Forecasting Considering SCADA Data

A cost-effective and efficient wind energy production trend leads to larger wind turbine generators and drive for more advanced forecast models to increase their accuracy. This paper proposes a combined forecasting model that consists of empirical mode decomposition, fuzzy group method of data handl...

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Bibliographic Details
Main Authors: Azim Heydari, Meysam Majidi Nezhad, Mehdi Neshat, Davide Astiaso Garcia, Farshid Keynia, Livio De Santoli, Lina Bertling Tjernberg
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Energies
Subjects:
power system
wind power production
SCADA data
fuzzy GMDH neural network
grey wolf optimization
Online Access:https://www.mdpi.com/1996-1073/14/12/3459

Internet

https://www.mdpi.com/1996-1073/14/12/3459

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