Modern optimization techniques with applications in electric power systems
This book presents the application of some AI related modern optimization techniques in the operation and control of electric power systems. With practical applications and examples the use of functional analysis, simulated annealing, Tabu-search, Genetic algorithms and fuzzy systems for the optimi...
Gorde:
| Egile Nagusiak: | , |
|---|---|
| Formatua: | Livre numérique |
| Hizkuntza: | Anglais |
| Argitaratua: |
New York, NY :
Springer New York
[20..].
Cham : Springer Nature |
| Edizioa: | 1st ed. 2012. |
| Saila: | Energy Systems
|
| Sarrera elektronikoa: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Oharra: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Modern Optimization Techniques with Applications in Electric Power Systems, Texte imprimé, 9781461417514 • Modern Optimization Techniques with Applications in Electric Power Systems, Texte imprimé, 9781461417538 • Modern Optimization Techniques with Applications in Electric Power Systems, Texte imprimé, 9781489989796 |
| Gaia: | This book presents the application of some AI related modern optimization techniques in the operation and control of electric power systems. With practical applications and examples the use of functional analysis, simulated annealing, Tabu-search, Genetic algorithms and fuzzy systems for the optimization of power systems is discussed in detail. Preliminary mathematical concepts are presented before moving to more advanced material. Researchers, senior undergraduate and graduate students will benefit from this book. Engineers working in utility companies, operations and control, and water resource management will also find this book useful |
|---|---|
| Alearen deskribapena: | Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| ISBN: | 9781461417521 |
| ISSN: | 1867-9005 |
| Sartu: | Accès en ligne pour les établissements français bénéficiaires des licences nationales Accès soumis à abonnement pour tout autre établissement Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 |