Intelligent Computing for Sustainable Energy and Environment

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Details

This book constitutes the refereed proceedings of the Second International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2012, held in Shanghai, China, in September 2012. The 60 full papers presented were carefully reviewed and selected from numerous submissions and present theories and methodologies as well as the emerging applications of intelligent computing in sustainable energy and environment.

Fast track conference proceedings State of the art research Up to date results

Inhalt

Study on Controlling Power Quality Based on Thermodynamics Modeling Method for 6.3kV Power System.- Recursive Model Predictive Control for Fast Varying Dynamic Systems.- Distributed Optimization and State Based Ordinal Potential Games.- Assessment of Texaco Syngas Components Using Extreme Learning Machine Based Quantum Neural Network.- Stochastic Gradient Algorithm for Hammerstein Systems with Piece-Wise Linearities.- Optimization of Train Energy-Efficient Operation Using Simulated Annealing Algorithm.- Artificial Cobweb Intelligent Routing Algorithm for Low-Voltage Power Line Communication.- Material Identification of Particles in Space-Borne Electronic Equipments Based on Principal Component Analysis.- Research and Application of Multiple Model Predictive Control in Ultra-supercritical Boiler-Turbine System.- A Decision Support Framework for Collision Avoidance of Unmanned Maritime Vehicles.

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Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783642371042
    • Auflage 2013
    • Editor Kang Li, Qun Niu, Dewei Li, Shaoyuan Li
    • Sprache Englisch
    • Genre Anwendungs-Software
    • Größe H235mm x B155mm x T31mm
    • Jahr 2013
    • EAN 9783642371042
    • Format Kartonierter Einband
    • ISBN 3642371043
    • Veröffentlichung 11.04.2013
    • Titel Intelligent Computing for Sustainable Energy and Environment
    • Untertitel Second International Conference, ICSEE 2012, Shanghai, China, September 12-13, 2012. Revised Selected Papers
    • Gewicht 861g
    • Herausgeber Springer Berlin Heidelberg
    • Anzahl Seiten 576
    • Lesemotiv Verstehen

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