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Feasibility Model of Solar Energy Plants by ANN and MCDM Techniques

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Feasibility Model of Solar Energy Plants by ANN and MCDM Techniques/ by Mrinmoy Majumder, Apu K. Saha.
Author:	Majumder, Mrinmoy.
other author:	Saha, Apu K.
Description:	X, 49 p. 14 illus., 13 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Renewable energy resources. -
Online resource:	https://doi.org/10.1007/978-981-287-308-8
ISBN:	9789812873088

Feasibility Model of Solar Energy Plants by ANN and MCDM Techniques
Majumder, Mrinmoy.

Feasibility Model of Solar Energy Plants by ANN and MCDM Techniques[electronic resource] /by Mrinmoy Majumder, Apu K. Saha. - 1st ed. 2016. - X, 49 p. 14 illus., 13 illus. in color.online resource. - SpringerBriefs in Energy,2191-5520. - SpringerBriefs in Energy,.

Introduction -- Justification -- Solar Energy -- Solar Energy -- Importance -- Benefits of Solar energy -- MCDM -- Definitions -- Applications -- Artificial Neural Network -- Definition -- Development Procedure of Models -- Development of the Feasibility Model -- Application of MCDM -- Development of Feasibility Index -- Model Validation of the Model -- Sensitivity Analysis -- Case Studies -- Locations -- Why this location ? -- Results and Discussion -- MCDM Results -- ANN Results -- Conclusion.

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.

ISBN: 9789812873088

Standard No.: 10.1007/978-981-287-308-8doiSubjects--Topical Terms:

563364
Renewable energy resources.

LC Class. No.: TJ807-830

Dewey Class. No.: 621.042

Feasibility Model of Solar Energy Plants by ANN and MCDM Techniques
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