Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
Training Invariant Support Vector Machines
Machine Learning
Time Series Forecasting of Averaged Data With Efficient Use of Information
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Reduced Support Vector Machines: A Statistical Theory
IEEE Transactions on Neural Networks
Comparing Support Vector Machines and Feedforward Neural Networks With Similar Hidden-Layer Weights
IEEE Transactions on Neural Networks
WSEAS Transactions on Mathematics
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Wind speed prediction in short term is required to asses the effect of wind on different objects in action in free space, like rockets, navigating ships and planes, guided missiles satellites in launch etc. Forecasting also helps in usage of wind energy as an alternative source of energy in Electrical power generation plants. The wind speed depends on the values of other atmospheric variables, such as pressure, moisture content, humidity, rainfall etc. This paper reports a Support Vector Machine model for short term wind speed prediction. The model uses the values of these parameters, obtained from a nearest weather station, as input data. The trained model is validated using a part of data. The model is then used to predict the wind speed, using the same meteorological information.