Feasibility Model of Solar Energy Plants by ANN and MCDM Techniques

This Brief highlights a novel model to find out the feasibility of any location to produce solar energy. The model utilizes the latest multi-criteria decision making techniques and artificial neural networks to predict the suitability of a location to maximize allocation of available energy for prod...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Majumder, Mrinmoy (Autor), Saha, Apu K. (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Singapore : Springer Nature Singapore : Imprint: Springer, 2016.
Edición:1st ed. 2016.
Colección:SpringerBriefs in Energy,
Temas:
Renewable energy sources.
Computational intelligence.
Electric power production.
Environmental economics.
Climatology.
Renewable Energy.
Computational Intelligence.
Electrical Power Engineering.
Mechanical Power Engineering.
Environmental Economics.
Climate Sciences.
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