Description
Springer Feasibility Model of Solar Energy Plants by ANN and MCDM Techniques by Mrinmoy Majumder, Apu K. Saha
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._x000D_ Table of contents :- _x000D_
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._x000D_