Power, Control and Optimization (eBook, PDF)

• Format: PDF

Produktbeschreibung

The book consists of chapters based on selected papers of international conference „Power, Control and Optimization 2012”, held in Las Vegas, USA. Readers can find interesting chapters discussing various topics from the field of power control, its distribution and related fields. Book discusses topics like energy consumption impacted by climate, mathematical modeling of the influence of thermal power plant on the aquatic environment, investigation of cost reduction in residential electricity bill using electric vehicle at peak times or allocation and size evaluation of distributed generation using ANN model and others.

Chapter authors are to the best of our knowledge the originators or closely related to the originators of presented ideas and its applications. Hence, this book certainly is one of the few books discussing the benefit from intersection of those modern and fruitful scientific fields of research with very tight and deep impact on real life and industry.

This book is devoted to the studies of common and related subjects in intensive research fields of power technologies. For these reasons, we believe that this book will be useful for scientists and engineers working in the above-mentioned fields of research and applications.

Produktdetails

• Verlag: Springer International Publishing
• Erscheinungstermin: 20. April 2013
• Englisch
• ISBN-13: 9783319002064
• Artikelnr.: 43789646

Inhaltsangabe

Pseudo-Gradient Based Particle Swarm Optimization Method for Nonconvex Economic Dispatch.- Energy Consumption Impacted by Climate Change Application: Case Study, Astara.- Computer Tools for Modelling and Evaluating the Potential of Energy Storage Systems with Reference to .- Particle Swarm Intelligence Based optimizationController Applied to Two Area InterconnectedPower System.- Allocation and Size Evaluation ofDistributed Generation using ANN Model.- MULTIPERIOD ECONOMIC DISPATCH: ADECOMPOSITION APPROACH.- Developing a Framework for Energy Technology Portfolio Selection .- INVESTIGATION OF COST REDUCTION IN RESIDENTIAL ELECTRICITY BILL USING ELECTRIC VEHICLE AT PEAK TIMES.- Wind Prediction in Malaysia.- Genetic Algorithm BasedMulti Objective Optimization of Building Design.- Mathematicalmodelling of the in influence of thermal power plant on the aquatic environment with consideration of meteorological condition by usingparallel technologies.

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Pseudo-Gradient Based Particle Swarm Optimization Method for Nonconvex Economic Dispatch.- Energy Consumption Impacted by Climate Change Application: Case Study, Astara.- Computer Tools for Modelling and Evaluating the Potential of Energy Storage Systems with Reference to .- Particle Swarm Intelligence Based optimizationController Applied to Two Area InterconnectedPower System.- Allocation and Size Evaluation ofDistributed Generation using ANN Model.- MULTIPERIOD ECONOMIC DISPATCH: ADECOMPOSITION APPROACH.- Developing a Framework for Energy Technology Portfolio Selection .- INVESTIGATION OF COST REDUCTION IN RESIDENTIAL ELECTRICITY BILL USING ELECTRIC VEHICLE AT PEAK TIMES.- Wind Prediction in Malaysia.- Genetic Algorithm BasedMulti Objective Optimization of Building Design.- Mathematicalmodelling of the in influence of thermal power plant on the aquatic environment with consideration of meteorological condition by usingparallel technologies.