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In this paper several architectures of neural network multilayer artificial are used to forecast mean daily wind speed at a target station. For this purpose, meteorological variables of reference stations are chosen as exogenous inputs. The mean daily wind speed and direction of 88 measuring stations, from 2005 to 2008 were used. From these stations we will identify zones with similar wind patterns...
In this paper a geostatistic wind speed model is applied to trace a wind speed map, based on data from official measurement weather stations distributed within the region of Andalucia-Spain. Each station's performance is assessed by comparing real measurements to those resulting from the linear interpolation of the rest. Once an error is associated to the station, the error is drawn in a map, in which...
In this paper a geostatistic wind direction model is applied to trace a wind speed map, based on data from official measurement weather stations distributed within the region of Andalucia-Spain. Each station's performance is assessed by comparing real measurements to those resulting from the linear interpolation of the rest. Once an error is associated to the station, the error is drawn in a map,...
In this paper an ARIMA model is used for time-series forecast involving wind speed measurements. Results are compared with the performance of a back propagation type NNT. Results show that ARIMA model is better than NNT for short time-intervals to forecast (10 minutes, 1 hour, 2 hours and 4 hours). Data was acquired from a unit located in Southern Andalusia (Pentildeaflor, Sevilla), with a soft orography...
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