Comparison of modeling methods for wind power prediction: a critical study
Comparison of modeling methods for wind power prediction: a critical study
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Publisher
Beijing: Higher Education Press
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Language
English
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Publisher
Beijing: Higher Education Press
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Contents
Prediction of power generation of a wind turbine is crucial, which calls for accurate and reliable models. In this work, six different models have been developed based on wind power equation, concept of power curve, response surface methodology (RSM) and artificial neural network (ANN), and the results have been compared. To develop the models base...
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Full title
Comparison of modeling methods for wind power prediction: a critical study
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TN_cdi_proquest_journals_2024254824
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2024254824
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ISSN
2095-1701
E-ISSN
2095-1698
DOI
10.1007/s11708-018-0553-3
