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International Journal of Ambient Energy Volume 38, 2017 - Issue 1
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Prediction of wind speed for the estimation of wind turbine power output from site climatological data using artificial neural network

T.R. AyodelePower Energy Machine and Drive Research Group, Department of Electrical and Electronic Engineering, Faculty of Technology, University of Ibadan, Ibadan, NigeriaCorrespondence[email protected]
&
A.S.O. OgunjuyigbePower Energy Machine and Drive Research Group, Department of Electrical and Electronic Engineering, Faculty of Technology, University of Ibadan, Ibadan, Nigeria
Pages 29-36 | Received 25 Nov 2014, Accepted 24 Feb 2015, Published online: 27 Mar 2015

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Read on this site (2)

Boualam Benlahbib. (2022) Wind farm active and reactive power management. International Journal of Ambient Energy 43:1, pages 3877-3887.
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T.R. Ayodele, A.S.O Ogunjuyigbe, R.O Olarewaju & J.L. Munda. (2019) Comparative Assessment of Wind Speed Predictive Capability of First-and Second-order Markov Chain at Different Time Horizons for Wind Power Application. Energy Engineering 116:3, pages 54-80.
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Articles from other publishers (9)

Hasmat Malik, Amit Kumar Yadav, Fausto Pedro García Márquez & Jesús María Pinar-Pérez. (2022) Novel application of Relief Algorithm in cascaded artificial neural network to predict wind speed for wind power resource assessment in India. Energy Strategy Reviews 41, pages 100864.
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Khawaja Masood Ahmed, Muhammad Arshad Khan, Imran Siddiqui, Siraj Khan, M. Shoaib & Ibrahim Zia. (2022) Wind Speed Prediction from Site Meteorological Data Using Artificial Neural Network. Wind Speed Prediction from Site Meteorological Data Using Artificial Neural Network.
Boudy Bilal, Kondo Hloindo Adjallah, Alexandre Sava, Kaan Yetilmezsoy & Emel Kıyan. (2022) Wind power conversion system model identification using adaptive neuro-fuzzy inference systems: A case study. Energy 239, pages 122089.
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Guofu Liu, Yu Zhang, Dekui Shen, Bing Yuan, Rui Li & Yu Sun. (2021) Anticipatory NH3 injection control for SCR system based on the prediction of the inlet NOx concentration. Journal of the Energy Institute 94, pages 167-175.
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Minglu Ma & Zhuangzhuang Wang. (2019) Prediction of the Energy Consumption Variation Trend in South Africa based on ARIMA, NGM and NGM-ARIMA Models. Energies 13:1, pages 10.
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Matthew Groch & Johan Vermeulen. (2019) Short-Term Ensemble NWP Wind Speed Forecasts using Mean-Variance Portfolio Optimization and Neural Networks. Short-Term Ensemble NWP Wind Speed Forecasts using Mean-Variance Portfolio Optimization and Neural Networks.
T.R. Ayodele, A.S.O. Ogunjuyigbe, A. Amedu & J.L. Munda. (2019) Prediction of global solar irradiation using hybridized k-means and support vector regression algorithms. Renewable Energy Focus 29, pages 78-93.
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Mehrdad Gholami, Seyed Hamid Fathi, Jafar Milimonfared, Zhe Chen & Fujin Deng. (2017) A new strategy based on hybrid battery–wind power system for wind power dispatching. IET Generation, Transmission & Distribution 12:1, pages 160-169.
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T. R. Ayodele, A. S. O. Ogunjuyigbe & C. G. Monyei. (2016) On the global solar radiation prediction methods. Journal of Renewable and Sustainable Energy 8:2.
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