Optimized extreme learning machine using genetic algorithm for short-term wind power prediction
Ibtissame Mansoury,
Dounia El Bourakadi,
Ali Yahyaouy
et al.
Abstract:Through the much defiance facing energy today, it has become necessary to rely on wind energy as a source of unlimited renewable energies. However, energy planning and regulation require wind capacity forecasting, because oscillations of wind speed drastically affect directly power generation. Therefore, several scenarios must be provided to allow for estimating uncertainties. To deal with this problem, this paper exploits the major advantages of the regularized extreme learning machine algorithm (R-ELM) and t… Show more
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