Short-Term Wind Speed Prediction Using a Hybrid Artificial Intelligence Approach Based on Dragonfly Algorithm: A Case Study of the Mediterranean Climate
Wind energy forecasting studies play an important role in the search for sustainable energy solutions. However, wind power generation faces an inherent challenge. It is subject to constant fluctuations caused by meteorological conditions. These fluctuations can lead to inconsistencies in voltage and...
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| Main Author: | Manolya Güldürek |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
AVES
2024-06-01
|
| Series: | Turkish Journal of Electrical Power and Energy Systems |
| Online Access: | https://tepesjournal.org/en/short-term-wind-speed-prediction-u-a-hybrid-artificial-intelligence-approach-based-on-dragonfly-algorithm-a-case-study-of-the-mediterranean-climate-1370 |
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