Artificial neural network and kalman filter approaches based on arima for daily wind speed forecasting
The wind speed forecasting is important to observe the wind behaviour in the future and control the harms caused by high or slow speeds. Daily wind speed is more consistent and reliable than other time scales by providing vast monitoring and effective planning. Although a linear autoregressive integ...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2015
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/54833/1/OsamahBasheerShukurPFS2015.pdf http://eprints.utm.my/id/eprint/54833/ |
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| Institution: | Universiti Teknologi Malaysia |
| Language: | English |