Computational intelligence in power engineering
Robust design of power system stabilizers for multimachine power systems using differential evolution / M.A. Abido -- An AIS-ACO hybrid approach for multi-objective distribution system reconfiguration / A. Ahuja, S. Das, A. Pahwa -- Intelligent techniques for transmission line fault classification /...
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| Weitere Verfasser: | , , |
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| Format: | UnknownFormat |
| Sprache: | eng |
| Veröffentlicht: |
Berlin, Heidelberg
Springer
2010
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| Schriftenreihe: | Studies in computational intelligence
302 |
| Schlagworte: | |
| Online Zugang: | Inhaltsverzeichnis Inhaltstext |
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Tag hinzufügen | Zusammenfassung: | Robust design of power system stabilizers for multimachine power systems using differential evolution / M.A. Abido -- An AIS-ACO hybrid approach for multi-objective distribution system reconfiguration / A. Ahuja, S. Das, A. Pahwa -- Intelligent techniques for transmission line fault classification / A.K. Pradhan -- Fuzzy reliability evaluations in electric power systems / Dusmanta Kumar Mohanta -- Load forecasting and neural networks: a prediction interval-based perspective / Abbas Khosravi, Saeid Nahavandi, Doug Creighton -- Neural network ensemble for 24-hour load pattern prediction in power system / Krzysztof Siwek, Stanislaw Osowski -- Power system protection using machine learning technique / S. R. Samantaray, P.K. Dash, G. Panda -- Power quality / Kyeon Hur, Surya Santoso -- Particle swarm optimization PSO: a new search tool in power system and electro technology / Adel M. Sharaf, Adel A.A. El-Gammal -- Particle swarm optimization and its applications in power systems / M.R. AlRashidi, M.F. AlHajri, Al-Othman, K.M. El-Naggar -- Application of evolutionary optimization techniques for PSS tuning / S.P. Ghoshal, A. Chatterjee, V. Mukherjee -- A metaheuristic approach for transmission system expansion planning / Ashu Verma, P.R. Bijwe, B.K. Panigrahi. |
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| Beschreibung: | Literaturangaben |
| Beschreibung: | VIII, 379 S. graph. Darst. 242 mm x 162 mm |
| ISBN: | 9783642140129 978-3-642-14012-9 |