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International Journal of Ambient Energy Volume 42, 2021 - Issue 16
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Original Articles

Power curve modeling for wind turbine systems: a comparison study

Ulas Eminoglua Depth. of Electrical & Electronics Engineering, Gaziosmanpasa University, Tokat, TurkeyCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-1908-5951
ORCID Icon &
Omer Turksoyb Depth. of Electrical & Electronics Engineering, Iskenderun Technical University, Hatay, TurkeyCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-4620-4503
ORCID Icon
Pages 1912-1921 | Received 01 Feb 2019, Accepted 22 May 2019, Published online: 20 Jun 2019

Citations (11)

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Alibakhsh Kasaeian, Kiana Rahmani, Mahdi Fakoor, Amirreza Kosari & Mohammad Hadi Katooli. (2024) Systematic design of a wind turbine by Design Structure Matrix (DSM) method, case study: Lootak region. International Journal of Ambient Energy 45:1.
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Rajat Kanti Samal. (2023) Techno-economic analysis and wind resource assessment for Odisha, India using reanalysis and 80 m mast measurements: a preliminary assessment for policy-makers. International Journal of Ambient Energy 44:1, pages 564-577.
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Articles from other publishers (9)

Nagwa F. Ibrahim, Sid Ahmed El Mehdi Ardjoun, Mohammed Alharbi, Abdulaziz Alkuhayli, Mohamed Abuagreb, Usama Khaled & Mohamed Metwally Mahmoud. (2023) Multiport Converter Utility Interface with a High-Frequency Link for Interfacing Clean Energy Sources (PV\Wind\Fuel Cell) and Battery to the Power System: Application of the HHA Algorithm. Sustainability 15:18, pages 13716.
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F. E. Munguia, M. Robles, H. Garcia & O. Rodríguez-Hernández. (2023) Improvement in output power assessment by wind turbine power curve modeling based on data mining. AIP Advances 13:7.
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Hiba H. Darwish & Ayman Al-Quraan. (2023) Machine Learning Classification and Prediction of Wind Estimation Using Artificial Intelligence Techniques and Normal PDF. Sustainability 15:4, pages 3270.
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Guilherme A. Barreto, Igor S. Brasil & Luis Gustavo M. Souza. (2021) Revisiting the modeling of wind turbine power curves using neural networks and fuzzy models: an application-oriented evaluation. Energy Systems 13:4, pages 983-1010.
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Stephen Oladipo, Yanxia Sun & Abraham Amole. (2022) Performance Evaluation of the Impact of Clustering Methods and Parameters on Adaptive Neuro-Fuzzy Inference System Models for Electricity Consumption Prediction during COVID-19. Energies 15:21, pages 7863.
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Ayman Al-Quraan & Bashar Al-Mhairat. (2022) Intelligent Optimized Wind Turbine Cost Analysis for Different Wind Sites in Jordan. Sustainability 14:5, pages 3075.
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Ayman Al‐Quraan, Hussein Al‐Masri, Mohammed Al‐Mahmodi & Ashraf Radaideh. (2021) Power curve modelling of wind turbines‐ A comparison study. IET Renewable Power Generation 16:2, pages 362-374.
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Kotb M. Kotb, M.R. Elkadeem, Mahmoud F. Elmorshedy & András Dán. (2020) Coordinated power management and optimized techno-enviro-economic design of an autonomous hybrid renewable microgrid: A case study in Egypt. Energy Conversion and Management 221, pages 113185.
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Yagang Zhang, Yuan Zhao, Chunhui Kong & Bing Chen. (2020) A new prediction method based on VMD-PRBF-ARMA-E model considering wind speed characteristic. Energy Conversion and Management 203, pages 112254.
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