Predicting the wind power density based upon extreme learning machine
Precise predictions of wind power density play a substantial role in determining the viability of wind energy harnessing. In fact, reliable prediction is particularly useful for operators and investors to offer a secure situation with minimal economic risks. In this paper, a new model based upon ELM...
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Main Authors: | Mohammadi, Kasra, Shamshirband, Shahaboddin, Por, LipYee, Petkovic, Dalibor, Zamani, Mazdak, Ch., Sudheer |
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Format: | Article |
Published: |
Elsevier Limited
2015
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/54985/ http://dx.doi.org/10.1016/j.energy.2015.03.111 |
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