A permutation entropy-based EMD–ANN forecasting ensemble approach for wind speed prediction
A permutation entropy-based EMD–ANN forecasting ensemble approach for wind speed prediction
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London: Springer London
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Language
English
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Publisher
London: Springer London
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Contents
Accurate wind speed prediction is critical for many tasks, especially for air pollution modelling. Data-driven approaches are particularly interesting but the stochastic nature of wind renders prediction tasks difficult. Therefore, a combination of methods could be useful to obtain better results. To overcome this difficulty, a hybrid wind speed fo...
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Full title
A permutation entropy-based EMD–ANN forecasting ensemble approach for wind speed prediction
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TN_cdi_proquest_journals_2502558587
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2502558587
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ISSN
0941-0643
E-ISSN
1433-3058
DOI
10.1007/s00521-020-05141-w
