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Computer Science - Information Systems and Applications | Intelligent Computing for Sustainable Energy and Environment - Second International Conference,

Intelligent Computing for Sustainable Energy and Environment

Second International Conference, ICSEE 2012, Shanghai, China, September 12-13, 2012. Revised Selected Papers

Li, K., Li, S., Li, D., Niu, Q. (Eds.)

2013, XIII, 560 p. 313 illus.

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  • Fast track conference proceedings
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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.

Content Level » Research

Keywords » algorithms - artificial intelligence - energy consumption - fuzzy neural networks - optimal control

Related subjects » Artificial Intelligence - Database Management & Information Retrieval - Image Processing - Information Systems and Applications - Theoretical Computer Science

Table of contents 

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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