Neural Networks for Short Term Wind Speed Prediction

Predicting short term wind speed is essential in order to prevent systems in-action from the effects of strong winds. It also helps in using wind energy as an alternative source of energy, mainly for Electrical power generation. Wind speed prediction has applications in Military and civilian fields for air traffic control, rocket launch, ship navigation etc. The wind speed in near future depends on the values of other meteorological variables, such as atmospheric pressure, moisture content, humidity, rainfall etc. The values of these parameters are obtained from a nearest weather station and are used to train various forms of neural networks. The trained model of neural networks is validated using a similar set of data. The model is then used to predict the wind speed, using the same meteorological information. This paper reports an Artificial Neural Network model for short term wind speed prediction, which uses back propagation algorithm. Keywords—Short term wind speed prediction, Neural networks, Back propagation.

[1]  Enrique Romero,et al.  Comparing Support Vector Machines and Feedforward Neural Networks With Similar Hidden-Layer Weights , 2007, IEEE Transactions on Neural Networks.

[2]  J.B. Theocharis,et al.  Locally recurrent neural networks optimal filtering algorithms: application to wind speed prediction using spatial correlation , 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

[3]  Shuhui Li,et al.  Wind power prediction using recurrent multilayer perceptron neural networks , 2003, 2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491).

[4]  Shuhui Li,et al.  Comparative Analysis of Regression and Artificial Neural Network Models for Wind Turbine Power Curve Estimation , 2001 .

[5]  Alireza Khotanzad,et al.  ANNSTLF-Artificial Neural Network Short-Term Load Forecaster- generation three , 1998 .

[6]  Carlos E. Pedreira,et al.  Neural networks for short-term load forecasting: a review and evaluation , 2001 .

[7]  C. Siriopoulos,et al.  Time series forecasting of averaged data with efficient use of information , 2005, IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans.

[8]  X. Wang,et al.  Wind speed forecasting for power system operational planning , 2005, 2004 International Conference on Probabilistic Methods Applied to Power Systems.

[9]  J.B. Theocharis,et al.  A fuzzy model for wind speed prediction and power generation in wind parks using spatial correlation , 2004, IEEE Transactions on Energy Conversion.

[10]  J.B. Theocharis,et al.  Long-term wind speed and power forecasting using local recurrent neural network models , 2006, IEEE Transactions on Energy Conversion.

[11]  G. Sideratos,et al.  Using Radial Basis Neural Networks to Estimate Wind Power Production , 2007, 2007 IEEE Power Engineering Society General Meeting.