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Wind Power Generation Forecasting using Artificial Neural Network


Beena Yadav , L.D. College of Engineering Ahmedabad, India; Dr.Bhavik Suthar, L.D. College of Engineering Ahmadabad, India


wind power, technology, optimum, stastical


Wind power is a potential alternative to the conventional energy technology. However, the biggest challenge in integrating wind power into the electric grid is its intermittency. One approach to deal with wind intermittency is forecasting future values of wind power production. Here, statistical method based on artificial intelligence technique is presented.24 hours and 48 hours ahead forecasting of wind power is carried out using multi-layer feedforward neural network with back-propagation as learning algorithm. Optimum values of network parameters like number of hidden units in hidden layer, learning rate and momentum factor are used after rigorous experimentation. Mean Absolute Percentage Error for 24 hoursahead and 48 hours ahead is presented.

Other Details

Paper ID: IJSRDV3I31153
Published in: Volume : 3, Issue : 3
Publication Date: 01/06/2015
Page(s): 1947-1950

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