Machine learning–based piecewise affine model of wind turbines during maximum power point tracking-Reference-Cited by-同舟云学术

Machine learning–based piecewise affine model of wind turbines during maximum power point tracking

Published:2020-02 Issue:2 Volume:23 Page:404-422
ISSN:1095-4244
Container-title:Wind Energy
language:en
Short-container-title:Wind Energy

Author:

Sindareh‐Esfahani Peyman¹^ORCID,Pieper Jeff¹

Affiliation:

1. Department of Mechanical and Manufacturing Engineering, Schulich School of EngineeringUniversity of Calgary Calgary Alberta Canada

Publisher

Wiley

Subject

Renewable Energy, Sustainability and the Environment

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/we.2440

Reference64 articles.

1. Status, plans and technologies for offshore wind turbines in Europe and North America

2. Gain-Scheduled $\ell _{1}$ -Optimal Control of Variable-Speed-Variable-Pitch Wind Turbines

3. Appropriate realization of gain-scheduled controllers with application to wind turbine regulation

4. Nonlinear Switching Control Techniques140

5. StolKA FingershL.Wind turbine field testing of state‐space control designs.Golden CO Natl. Renew. Energy Lab. NREL/SR‐500‐35061 no. September;2004.

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