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Electric power systems : advanced forecasting techniques and optimal generation scheduling /

"Preface A wide-ranging impression about the subjects discussed in this book is that the topics are pivotal for understanding and solving some of the problems flourishing in the second decade of the twenty-first century in the field of management of electric power generation systems. Noticeably...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Catalão, João P. S.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Boca Raton : CRC Press, ©2012.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

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245 0 0 |a Electric power systems :  |b advanced forecasting techniques and optimal generation scheduling /  |c edited by João P.S. Catalão. 
260 |a Boca Raton :  |b CRC Press,  |c ©2012. 
300 |a 1 online resource 
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520 |a "Preface A wide-ranging impression about the subjects discussed in this book is that the topics are pivotal for understanding and solving some of the problems flourishing in the second decade of the twenty-first century in the field of management of electric power generation systems. Noticeably, the chapters start with some of the last-decade knowledge to uncover lines of research on some of the present knowledge and, in due course, anticipate some of the admissible lines for future research in management of electric power generation systems. The scope of the book is well defined and of significant interest. Indeed, the development of new methodologies carrying away an improved forecasting and scheduling of electric power generation systems is crucial under the new competitive and environmentally constrained energy policy. The capability to cope with uncertainty and risk will benefit significantly generating companies. It is a fact that to avoid losing advantages of participating in the electricity market or negotiating bilateral contracts, a power producer should self-schedule its power system in anticipation. In recognition of this fact, hydro and thermal scheduling are relevant topics today. Already, wind power generation is playing an important role in some countries and will be even more important in the nearby future of energy supply in many countries. Thus, optimal coordination between hydro, thermal, and wind power is of utmost importance. Deterministic and stochastic modeling frameworks are allowing the development of the next generation of computational tools to help successful management of electric power generation systems. Research is underway to conquer the capability to cope with the present and the future of electric power generation systems as shown"--  |c Provided by publisher. 
504 |a Includes bibliographical references and index. 
588 0 |a Print version record. 
505 0 |a 1. Overview of electric power generation systems / Cláudio Monteiro -- 2. Uncertainty and risk in generation scheduling / Rabih A. Jabr -- 3. Short-term load forecasting / Alexandre P. Alves da Silva and Vitor H. Ferreira -- 4. Short-term electricity price forecasting / Nima Amjady -- 5. Short-term wind power forecasting / Gregor Giebel and Michael Denhard -- 6. Price-based scheduling for gencos / Govinda B. Shrestha and Songbo Qiao -- 7. Optimal self-schedule of a hydro producer under certainty / F. Javier Díaz and Javier Contreras -- 8. Hydrothermal producer self-scheduling / Christos K. Simoglou, Pandelis N. Biskas, and Anastasios G. Bakirtzis -- 9. Unit commitment and economic dispatch for operations planning of power systems with significant installed wind power capacity / Barry G. Rawn [and others] -- 10. Operational optimization of multigeneration systems / Pierluigi Mancarella and Gianfranco Chicco. 
590 |a O'Reilly  |b O'Reilly Online Learning: Academic/Public Library Edition 
650 0 |a Electric power production  |x Forecasting. 
650 0 |a Electric power systems  |x Management. 
650 6 |a Électricité  |x Production  |x Prévision. 
650 6 |a Réseaux électriques (Énergie)  |x Gestion. 
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650 7 |a Electric power production  |x Forecasting.  |2 fast  |0 (OCoLC)fst00905487 
650 7 |a Electric power systems  |x Management.  |2 fast  |0 (OCoLC)fst00905568 
700 1 |a Catalão, João P. S. 
776 0 8 |i Print version:  |t Electric power systems.  |d Boca Raton : CRC Press, 2012  |z 9781439893944  |w (DLC) 2011050407  |w (OCoLC)741542182 
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