Electric Power Systems: Advanced Forecasting Techniques and Optimal Generation Scheduling - Softcover

 
9781138073982: Electric Power Systems: Advanced Forecasting Techniques and Optimal Generation Scheduling

Inhaltsangabe

An accurate forecast of load, electricity market prices, and wind power generation is increasingly important to support decisions in power system operations and planning. Written by renowned international experts, this book presents cutting-edge research on forecasting and scheduling issues in electric power generation systems. The text covers topics such as uncertainty and risk, load forecasting, electricity prices forecasting, wind power forecasting, price-based scheduling for generating companies, optimal scheduling of a hydro producer, hydro-thermal coordination, unit commitment with wind generators, and operational optimization of multigeneration systems.

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Über die Autorin bzw. den Autor

João P.S. Catalão received an MSc degree from the Instituto Superior Tecnico (IST), Lisbon, Portugal, in 2003 and a PhD from the University of Beira Interior (UBI), Covilha, Portugal, in 2007. He is currently a professor at UBI and a director of the Master Program in Electromechanical Engineering. His scientific area of interest at the Center for Innovation in Electrical and Energy Engineering (CIEEE), IST, is related to power and energy systems. He coordinates a research group in renewable energies and sustainability at UBI. He is an IEEE and an IET member, a senior member of the Portuguese Council of Engineers, and a member of the IASTED Technical Committee on Energy and Power Systems. He is the author/coauthor of more than 160 scientific papers, including 50 papers in international journals and 100 papers in conference proceedings. He is an editor of IEEE Transactions on Sustainable Energy, and an editorial board member of Electric Power Components and Systems.

For more information about Professor Catalão, see his web page at UBI.

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9781439893944: Electric Power Systems: Advanced Forecasting Techniques and Optimal Generation Scheduling

Vorgestellte Ausgabe

ISBN 10:  1439893942 ISBN 13:  9781439893944
Verlag: CRC Press, 2012
Hardcover