The Application of Different Model of Multi-Layer Perceptrons in the Estimation of Wind Speed

Simona Culotta; Antonio Messineo; Simona Messineo

doi:10.4028/www.scientific.net/AMR.452-453.690

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 452-453The Application of Different Model of Multi-Layer...

The Application of Different Model of Multi-Layer Perceptrons in the Estimation of Wind Speed

Abstract:

Wind speed forecasting is essential for effective planning of wind energy exploitation projects. The ability to predict short-term wind speed is a prerequisite for all the operators of the wind energy sector. Consequently it is essential to identify an efficient method for forecasts. In this paper, the wind speed in the province of Trapani (Sicily) is modeled by artificial neural network. Several model of neural network were generated and compared through error measures. Simulation results show that the estimated values of wind speed are in good agreement with the values measured by anemometers..

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Periodical:

Advanced Materials Research (Volumes 452-453)

Pages:

690-694

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.452-453.690

Citation:

Cite this paper

Online since:

January 2012

Authors:

Simona Culotta, Antonio Messineo, Simona Messineo

Keywords:

Artificial Neural Network (ANN), Multi-Layer Perceptrons, Wind Speed Prediction.

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