Benchmarking of Various Flexible Soft-Computing Strategies for the Accurate Estimation of Wind Turbine Output Power

Benchmarking of Various Flexible Soft-Computing Strategies for the Accurate Estimation of Wind Turbine Output Power

This computational study explores the potential of several soft-computing techniques for wind turbine (WT) output power (kW) estimation based on seven input variables of wind speed (m/s), wind direction (°), air temperature (°C), pitch angle (°), generator temperature (°C), rotating speed of the gen...

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Bibliographic Details
Main Authors: Boudy Bilal, Kaan Yetilmezsoy, Mohammed Ouassaid
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Energies
Subjects:
artificial neural networks
decision tree-based modeling
soft-computing
wind turbine output power
Online Access:https://www.mdpi.com/1996-1073/17/3/697

Internet

https://www.mdpi.com/1996-1073/17/3/697

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