Feasibility Model of Solar Energy Plants by ANN and MCDM Techniques
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.
| Autor: | Majumder, Mrinmoy Saha, Apu K. |
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| ISBN: | 9789812873071 |
| Sprache: | Englisch |
| Seitenzahl: | 49 |
| Produktart: | Kartoniert / Broschiert |
| Verlag: | Springer Singapore |
| Veröffentlicht: | 10.05.2016 |
| Schlagworte: | Analytical Hierarchy Process ELECTRE EVAMIX Fuzzy Logic Decision Making Multi Criteria Decision Making (MCDM) Network Topology Neural Networks Neuro-Genetic Model Solar Energy Plants climate change impacts |
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