Short-term wind power forecasting using long-short term memory based recurrent neural network model and variable selection
نویسندگان
چکیده
منابع مشابه
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15 صفحه اولimproving short-term wind power prediction with neural network and ica algorithm and input feature selection
according to this fact that wind is now a part of global energy portfolio and due to unreliable and discontinuous production of wind energy; prediction of wind power value is proposed as a main necessity. in recent years, various methods have been proposed for wind power prediction. in this paper the prediction structure involves feature selection and use of artificial neural network (ann). in ...
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ژورنال
عنوان ژورنال: International Journal of Smart Grid and Clean Energy
سال: 2019
ISSN: 2315-4462,2373-3594
DOI: 10.12720/sgce.8.2.103-110