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Wind power generation forecasting - a hybrid optimization technique integrating genetic algorithm and particle swarm optimization is developed to optimize parameters of an ANFIS model for wind power generation modeling and forecasting.

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This page is a summary of: Short-term wind power prediction in microgrids using a hybrid approach integrating genetic algorithm, particle swarm optimization, and adaptive neuro-fuzzy inference systems, IEEJ Transactions on Electrical and Electronic Engineering, May 2018, Wiley,
DOI: 10.1002/tee.22720.
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