Feasibility Model of Solar Energy Plants by ANN and MCDM Techniques (Paperback, 1st ed. 2016)

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 producing optimal amount of electricity which will satisfy the demand from the market. According to the results of the case studies further applications are encouraged.

General

Imprint:	Springer Verlag, Singapore
Country of origin:	Singapore
Series:	SpringerBriefs in Energy
Release date:	May 2016
First published:	2016
Authors:	Mrinmoy Majumder • Apu K. Saha
Dimensions:	235 x 155 x 3mm (L x W x T)
Format:	Paperback
Pages:	49
Edition:	1st ed. 2016
ISBN-13:	978-981-287-307-1
Categories:	Books > Professional & Technical > Energy technology & engineering > Alternative & renewable energy sources & technology Books > Computing & IT > Applications of computing > Computer modelling & simulation
LSN:	981-287-307-4
Barcode:	9789812873071

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