Comparison of LSSVR, M5RT, NF-GP, and NF-SC Models for Predictions of Hourly Wind Speed and Wind Power Based on Cross-Validation
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Title
Comparison of LSSVR, M5RT, NF-GP, and NF-SC Models for Predictions of Hourly Wind Speed and Wind Power Based on Cross-Validation
Authors
Keywords
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Journal
Energies
Volume 12, Issue 2, Pages 329
Publisher
MDPI AG
Online
2019-01-22
DOI
10.3390/en12020329
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- Short-term wind power prediction based on LSSVM–GSA model
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- (2013) M. Taghi Sattari et al. Water Resources
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