A novel neural network method for wind speed forecasting using exogenous measurements from agriculture stations

Measurement: Journal of the International Measurement Confederation

Volumn 55, Issue , 2014, Pages 295-304

  Palomares Salas, José Carlos ^a,b   Agüera Pérez, Agustín ^a,b   González De La Rosa, Juan José ^a,b   Moreno Muñoz, Antonio ^a,c  

^a Research Group PAIDI TIC 168   (Spain)

^b UNIVERSITY OF CÁDIZ   (Spain)

^c UNIVERSITY OF CÓRDOBA   (Spain)

Author keywords

Artificial neural networks; Exogenous information; On site measurements; Time series forecasting; Wind speed prediction

Indexed keywords

AGRICULTURE; CORRELATION METHODS; MEAN SQUARE ERROR; NEURAL NETWORKS; WIND;

BACKPROPAGATION NETWORK; EXOGENOUS INFORMATION; MULTIPLE-COMPARISON PROCEDURES; ON-SITE MEASUREMENT; PEARSON'S CORRELATION COEFFICIENTS; TIME SERIES FORECASTING; WIND SPEED FORECASTING; WIND SPEED PREDICTION;

FORECASTING;

EID: 84902653249     PISSN: 02632241     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.measurement.2014.05.020     Document Type: Article

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