6533b830fe1ef96bd1297b5c
RESEARCH PRODUCT
The Application of Different Model of Multi-Layer Perceptrons in the Estimation of Wind Speed
Simona MessineoAntonio MessineoSimona Culottasubject
EstimationArtificial neural networks multi-layer perceptrons wind speed predictionEngineeringWind powerArtificial neural networkMeteorologybusiness.industryAstrophysics::High Energy Astrophysical PhenomenaGeneral EngineeringPerceptronWind speedAnemometerPhysics::Space PhysicsAstrophysics::Solar and Stellar AstrophysicsbusinessMulti layerPhysics::Atmospheric and Oceanic Physicsdescription
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..
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2012-01-01 | Advanced Materials Research |