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Beschreibung
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.
Details
| Verlag | Springer Singapore |
| Ersterscheinung | 10. Mai 2016 |
| Maße | 23.5 cm x 15.5 cm |
| Gewicht | 108 Gramm |
| Format | Softcover |
| ISBN-13 | 9789812873071 |
| Auflage | 1st ed. 2016 |
| Seiten | 49 |
Schlagwörter
Alternative und erneuerbare Energiequellen und -technik, Climate Sciences, Computational Intelligence, Electrical Power Engineering, Elektrotechnik, Energietechnik - Elektrotechnik und Energiemaschinenbau, Environmental Economics, Künstliche Intelligenz, Mechanical Power Engineering, Meteorologie und Klimatologie (Klimaforschung), Renewable Energy, Umweltökonomie
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