A hybrid approach to forecasting wind power using Artificial Neural Networks and Numeric Weather Prediction
A methodology to forecast wind power production 24 hours ahead is developed using a hybrid approach of an artificial neural network (ANN) and numerical weather prediction (NWP). The methodology is simple and designed to be applicable to any wind farm on the globe, using publicly available NWP data a...
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| Format: | Others |
| Language: | en_US |
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Wichita State University
2012
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| Online Access: | http://hdl.handle.net/10057/5031 |