Prediction model of wind speed using hybrid artificial neural network based on Levenberg-Marquardt algorithm
نویسندگان
چکیده
<span lang="EN-US">In this paper, a new method is developed to model the wind speed data that considered as function of seasonal variations. A hybrid artificial neural network (HANN) investigated based on Weibull distribution model. The presented HANN predicts with and chronological characteristics similar real data. design farm was implemented using MATLAB software. suggested has been applied validated collected from site Tangier-MED in Morocco over two years, 2015 2016. errors terms mean absolute percentage error MAPE root square RMSE are respectively 0.011 0.067 2015.</span>
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ژورنال
عنوان ژورنال: International Journal of Power Electronics and Drive Systems
سال: 2023
ISSN: ['2722-2578', '2722-256X']
DOI: https://doi.org/10.11591/ijpeds.v14.i3.pp1345-1355