Abstract
The power generated by electric wind turbines changes rapidly because of the continuous fluctuation of wind speed and direction. It is important for the power industry to have the capability to predict this changing power. In this paper, the characteristics of wind power generation are studied and a neural network is used to predict it. The data from a wind farm is analyzed, and the construction of the neural network is discussed. The performance of the neural network is studied compared with measured results and is found to predict the power generated accurately and present a good approximation to the behavior of wind turbine under changing wind conditions.
| Original language | English |
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| Pages | 415-420 |
| Number of pages | 6 |
| State | Published - 1997 |
| Event | Proceedings of the 1997 International Solar Energy Conference - Washington, DC, USA Duration: Apr 27 1997 → Apr 30 1997 |
Conference
| Conference | Proceedings of the 1997 International Solar Energy Conference |
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| City | Washington, DC, USA |
| Period | 04/27/97 → 04/30/97 |