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Cover Art
E-RESOURCE
Author Majumder, Mrinmoy, author.

Title Feasibility model of solar energy plants by ANN and MCDM techniques / Mrinmoy Majumder, Apu K. Saha.

Published Singapore : Springer, 2016.

Copies

Location Call No. Status
 UniM INTERNET resource    AVAILABLE
Physical description 1 online resource (x, 49 pages) : illustrations (some color).
Series SpringerBriefs in energy, 2191-5520
SpringerBriefs in energy, 2191-5520
Springer English/International eBooks 2016 - Full Set
Bibliography Includes bibliographical references.
Contents 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.
Summary 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.
Other author Saha, Apu K. author.
SpringerLink issuing body.
Subject Solar energy -- Computer simulation.
Solar energy -- Decision making.
Electronic books.
ISBN 9789812873088 electronic bk.
9812873082 electronic bk.
9789812873071 print
Standard Number 10.1007/978-981-287-308-8