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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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Majumder, Mrinmoy (Author), Saha, Apu K. (Author)
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:Inglés
Published: Singapore : Springer Nature Singapore : Imprint: Springer, 2016.
Edition:1st ed. 2016.
Series:SpringerBriefs in Energy,
Subjects:
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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