A Comparative Study of Activation Functions of NAR and NARX Neural Network for Long-Term Wind Speed Forecasting in Malaysia
Since wind power is directly influenced by wind speed, long-term wind speed forecasting (WSF) plays an important role for wind farm installation. WSF is essential for controlling, energy management and scheduled wind power generation in wind farm. The proposed investigation in this paper provides 30...
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| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
Hindawi
2019
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/23521/ https://doi.org/10.1155/2019/6403081 |
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