Deep learned recurrent type-3 fuzzy system: Application for renewable energy modeling/prediction

Deep learned recurrent type-3 fuzzy system: Application for renewable energy modeling/prediction

A deep learned recurrent type-3 (RT3) fuzzy logic system (FLS) with nonlinear consequent part is presented for renewable energy modeling and prediction. Beside the rule parameters, the values of horizontal slices and membership function (MF) parameters are also optimized. The stability of suggested...

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Autores principales: Yan Cao, Amir Raise, Ardashir Mohammadzadeh, Sakthivel Rathinasamy, Shahab S. Band, Amirhosein Mosavi
Formato: article
Lenguaje:EN
Publicado: Elsevier 2021
Materias:
Fuzzy logic
Renewable energy
Learning algorithm
Deep learning
Solar energy
Wind turbines
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Acceso en línea:https://doaj.org/article/9190d08ce3174b15803a94f466204d85
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https://doaj.org/article/9190d08ce3174b15803a94f466204d85

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