|
|
|
|
| LEADER |
03601nma a2200805 u 4500 |
| 001 |
EB002052551 |
| 003 |
EBX01000000000000001196217 |
| 005 |
00000000000000.0 |
| 007 |
cr||||||||||||||||||||| |
| 008 |
220822 ||| eng |
| 020 |
|
|
|a 9783036546957
|
| 020 |
|
|
|a books978-3-0365-4696-4
|
| 020 |
|
|
|a 9783036546964
|
| 100 |
1 |
|
|a Barukčić, Marinko
|
| 245 |
0 |
0 |
|a Computational Intelligence Application in Electrical Engineering
|h Elektronische Ressource
|
| 260 |
|
|
|a Basel
|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2022
|
| 300 |
|
|
|a 1 electronic resource (174 p.)
|
| 653 |
|
|
|a ant colony optimization
|
| 653 |
|
|
|a active distribution network
|
| 653 |
|
|
|a optimization algorithms
|
| 653 |
|
|
|a fuzzy logic control
|
| 653 |
|
|
|a induction machine
|
| 653 |
|
|
|a n/a
|
| 653 |
|
|
|a efficiency factor
|
| 653 |
|
|
|a distributed generation
|
| 653 |
|
|
|a History of engineering & technology / bicssc
|
| 653 |
|
|
|a predictive current control
|
| 653 |
|
|
|a optimal allocation and control
|
| 653 |
|
|
|a overcurrent relays
|
| 653 |
|
|
|a optometric analysis
|
| 653 |
|
|
|a Technology: general issues / bicssc
|
| 653 |
|
|
|a advanced distribution system optimization
|
| 653 |
|
|
|a Newton-Raphson
|
| 653 |
|
|
|a Monte Carlo simulations
|
| 653 |
|
|
|a optimal Smart Grid management
|
| 653 |
|
|
|a power flow
|
| 653 |
|
|
|a S-iteration process
|
| 653 |
|
|
|a power factor
|
| 653 |
|
|
|a Takagi-Sugeno
|
| 653 |
|
|
|a school-based optimizer
|
| 653 |
|
|
|a renewable distributed generation
|
| 653 |
|
|
|a protection relays
|
| 653 |
|
|
|a Smart Grid optimization
|
| 653 |
|
|
|a transient models
|
| 653 |
|
|
|a optimal distribution system management
|
| 653 |
|
|
|a computational efficiency
|
| 653 |
|
|
|a electric markets
|
| 653 |
|
|
|a power system protection
|
| 653 |
|
|
|a computational intelligence
|
| 653 |
|
|
|a high order newton-like method
|
| 653 |
|
|
|a line-start synchronous motor
|
| 653 |
|
|
|a computational intelligence techniques
|
| 653 |
|
|
|a photovoltaic generation
|
| 653 |
|
|
|a metaheuristic
|
| 653 |
|
|
|a co-simulation
|
| 700 |
1 |
|
|a Raičević, Nebojša
|
| 700 |
1 |
|
|a Šarac, Vasilija
|
| 700 |
1 |
|
|a Barukčić, Marinko
|
| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
|
| 989 |
|
|
|b DOAB
|a Directory of Open Access Books
|
| 500 |
|
|
|a Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
|
| 024 |
8 |
|
|a 10.3390/books978-3-0365-4696-4
|
| 856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/91207
|z DOAB: description of the publication
|
| 856 |
4 |
0 |
|u https://www.mdpi.com/books/pdfview/book/5853
|7 0
|x Verlag
|3 Volltext
|
| 082 |
0 |
|
|a 900
|
| 082 |
0 |
|
|a 000
|
| 082 |
0 |
|
|a 700
|
| 082 |
0 |
|
|a 600
|
| 082 |
0 |
|
|a 620
|
| 520 |
|
|
|a The Special Issue "Computational Intelligence Application in Electrical Engineering" deals with the application of computational intelligence techniques in various areas of electrical engineering. The topics of computational intelligence applications in smart power grid optimization, power distribution system protection, and electrical machine design and control optimization are presented in the Special Issue. The co-simulation approach to metaheuristic optimization methods and simulation tools for a power system analysis are also presented. The main computational intelligence techniques, evolutionary optimization, fuzzy inference system, and an artificial neural network are used in the research presented in the Special Issue. The articles published in this issue present the recent trends in computational intelligence applications in the areas of electrical engineering.
|