Soft Computing in Green and Renewable Energy Systems
Soft Computing in Green and Renewable Energy Systems provides a practical introduction to the application of soft computing techniques and hybrid intelligent systems for designing, modeling, characterizing, optimizing, forecasting, and performance prediction of green and renewable energy systems. Re...
Enregistré dans:
| Auteur principal: | |
|---|---|
| Autres auteurs: | , |
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Édition: | 1st ed. 2011. |
| Collection: | Studies in Fuzziness and Soft Computing
269 |
| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Soft Computing in Green and Renewable Energy Systems, Texte imprimé, 9783642221750 |
Table des matières:
- From the content: Soft Computing Applications in Thermal Energy Systems Use of Soft Computing Techniques in Renewable Energy Hydrogen Hybrid Systems Soft Computing in Absorption Cooling Systems A Comprehensive Overview of Short Term Wind Forecasting Models based on Time Series Analysis Load Flow with Uncertain Loading and Generation in Future Smart Grids