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Feasibility model of solar energy pl...

Majumder, Mrinmoy.

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Feasibility model of solar energy plants by ANN and MCDM techniques

Record Type:	Electronic resources : 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.
Published:	Singapore :Springer Singapore : : 2016.,
Description:	x, 49 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Solar energy - Computer simulation. -
Online resource:	http://dx.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. - Singapore :Springer Singapore :2016. - x, 49 p. :ill. (some col.), digital ;24 cm. - 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:

2191478
Solar energy
--Computer simulation.

LC Class. No.: TJ810

Dewey Class. No.: 621.471

Feasibility model of solar energy plants by ANN and MCDM techniques
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100 1 $a Majumder, Mrinmoy. $3 1085817
245 1 0 $a Feasibility model of solar energy plants by ANN and MCDM techniques $h [electronic resource] / $c by Mrinmoy Majumder, Apu K. Saha.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2016.
300 $a x, 49 p. : $b ill. (some col.), digital ; $c 24 cm.
490 1 $a SpringerBriefs in energy, $x 2191-5520
505 0 $a 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.
520 $a 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.
650 0 $a Solar energy $x Computer simulation. $3 2191478
650 0 $a Solar energy $x Decision making. $3 2191479
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650 2 4 $a Renewable and Green Energy. $3 928108
650 2 4 $a Computational Intelligence. $3 1001631
650 2 4 $a Energy Technology. $3 1001977
650 2 4 $a Environmental Economics. $3 895247
650 2 4 $a Climate Change/Climate Change Impacts. $3 2036591
700 1 $a Saha, Apu K. $3 2191477
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