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A time series ensemble method to predict wind power
conference contributionposted on 2014-01-01, 00:00 authored by Sumaira Tasnim, A Rahman, GM Shafiullah, Aman Maung Than OoAman Maung Than Oo, Aleksandar Stojcevski
Wind power prediction refers to an approximation of the probable production of wind turbines in the near future. We present a time series ensemble framework to predict wind power. Time series wind data is transformed using a number of complementary methods. Wind power is predicted on each transformed feature space. Predictions are aggregated using a neural network at a second stage. The proposed framework is validated on wind data obtained from ten different locations across Australia. Experimental results demonstrate that the ensemble predictor performs better than the base predictors.