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...
שמור ב:
| מחבר ראשי: | |
|---|---|
| מחברים אחרים: | , |
| פורמט: | Livre numérique |
| שפה: | Anglais |
| יצא לאור: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| מהדורה: | 1st ed. 2011. |
| סדרה: | Studies in Fuzziness and Soft Computing
269 |
| גישה מקוונת: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| הערה: |
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 |
| LEADER | 03814nam a22003497a 4500 | ||
|---|---|---|---|
| 001 | 973686 | ||
| 008 | 111115q2000 xx ||| |||| 00| 0 eng d | ||
| 009 | PPN156321920 | ||
| 020 | |a 9783642221767 | ||
| 041 | 0 | |a eng | |
| 082 | |a 006.3 | ||
| 100 | 1 | |a Gopalakrishnan, Kasthurirangan, |d 19..- | |
| 245 | 1 | 0 | |a Soft Computing in Green and Renewable Energy Systems |c edited by Kasthurirangan Gopalakrishnan, Siddhartha Kumar Khaitan, Soteris Kalogirou. |
| 250 | |a 1st ed. 2011. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Studies in Fuzziness and Soft Computing |v 269 |x 1860-0808 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a 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 | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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. Research is proceeding at jet speed on renewable energy (energy derived from natural resources such as sunlight, wind, tides, rain, geothermal heat, biomass, hydrogen, etc.) as policy makers, researchers, economists, and world agencies have joined forces in finding alternative sustainable energy solutions to current critical environmental, economic, and social issues. The innovative models, environmentally benign processes, data analytics, etc. employed in renewable energy systems are computationally-intensive, non-linear and complex as well as involve a high degree of uncertainty. Soft computing technologies, such as fuzzy sets and systems, neural science and systems, evolutionary algorithms and genetic programming, and machine learning, are ideal in handling the noise, imprecision, and uncertainty in the data, and yet achieve robust, low-cost solutions. As a result, intelligent and soft computing paradigms are finding increasing applications in the study of renewable energy systems. Researchers, practitioners, undergraduate and graduate students engaged in the study of renewable energy systems will find this book very useful. | ||
| 700 | 1 | |a Khaitan, Siddhartha Kumar. |4 pbd | |
| 700 | 1 | |a Kalogirou, Soteris A. |4 pbd | |
| 776 | 0 | |t Soft Computing in Green and Renewable Energy Systems |b Texte imprimé |z 9783642221750 | |
| 856 | 4 | |q PDF |u https://doi.org/10.1007/978-3-642-22176-7 |z Accès sur la plateforme de l'éditeur | |
| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-NV0GLFGD-8 |z Accès sur la plateforme Istex | |
| 856 | 4 | |5 452349901:750609702 |u https://ezproxy.univ-orleans.fr/login?url=https://dx.doi.org/10.1007/978-3-642-22176-7 |z Accès Université d'Orléans | |
| 856 | 4 | |5 180339901:753969122 |u https://ezproxy.insa-cvl.fr/login?qurl=https://dx.doi.org/10.1007/978-3-642-22176-7 |z Accès INSA CVL | |
| 997 | |0 973686 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||