ENGLISH

Feasibility Model of Solar Energy Plants by ANN and MCDM Techniques

By Mrinmoy Majumder , Apu K. Saha (auth.)

Book information

Publisher
Springer Singapore
Year
2016
ISBN
978-981-287-307-1, 978-981-287-308-8
DOI
10.1007/978-981-287-308-8
Language
english
Format
PDF
Filesize
2 MB (2473473 bytes)
Series
SpringerBriefs in Energy
Edition
1
Pages
X, 49\58
Time added
2016-07-20 04:00:00
Renewable and Green Energy; Computational Intellig

Description

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.

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