Computational Intelligence Application in Electrical Engineering
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...
Format: | eBook |
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Language: | English |
Published: |
Basel
MDPI - Multidisciplinary Digital Publishing Institute
2022
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Subjects: | |
Online Access: | Open Access: DOAB: description of the publication Open Access: DOAB, download the publication |
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245 | 0 | 0 | |a Computational Intelligence Application in Electrical Engineering |
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300 | |a 1 online resource (174 p.) | ||
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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. | ||
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650 | 7 | |a History of engineering & technology |2 bicssc | |
650 | 7 | |a Technology: general issues |2 bicssc | |
653 | |a active distribution network | ||
653 | |a advanced distribution system optimization | ||
653 | |a ant colony optimization | ||
653 | |a co-simulation | ||
653 | |a computational efficiency | ||
653 | |a computational intelligence | ||
653 | |a computational intelligence techniques | ||
653 | |a distributed generation | ||
653 | |a efficiency factor | ||
653 | |a electric markets | ||
653 | |a fuzzy logic control | ||
653 | |a high order newton-like method | ||
653 | |a induction machine | ||
653 | |a line-start synchronous motor | ||
653 | |a metaheuristic | ||
653 | |a Monte Carlo simulations | ||
653 | |a n/a | ||
653 | |a Newton-Raphson | ||
653 | |a optimal allocation and control | ||
653 | |a optimal distribution system management | ||
653 | |a optimal Smart Grid management | ||
653 | |a optimization algorithms | ||
653 | |a optometric analysis | ||
653 | |a overcurrent relays | ||
653 | |a photovoltaic generation | ||
653 | |a power factor | ||
653 | |a power flow | ||
653 | |a power system protection | ||
653 | |a predictive current control | ||
653 | |a protection relays | ||
653 | |a renewable distributed generation | ||
653 | |a S-iteration process | ||
653 | |a school-based optimizer | ||
653 | |a Smart Grid optimization | ||
653 | |a Takagi-Sugeno | ||
653 | |a transient models | ||
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