03152cam a22003374a 4500 17126960 Nust- CAS-E 20180118181355.0 120119s2012 flua b 001 0 eng 2011050407 9781439893944 DLC DLC DLC pcc TK1001 .E424 2012 333.79320685 23 ELE 2012 TEC008000 TEC031010 TEC031020 bisacsh Electric power systems : advanced forecasting techniques and optimal generation scheduling / [edited by] Jo�ao P.S. Catal�ao. Boca Raton : CRC Press, 2012. 1 v. (various pagings ) : ill. ; 24 cm. Includes bibliographical references and index. "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"-- Electric power production Forecasting. Electric power systems Management. TECHNOLOGY & ENGINEERING / Electronics / General. bisacsh TECHNOLOGY & ENGINEERING / Power Resources / Alternative & Renewable. bisacsh TECHNOLOGY & ENGINEERING / Power Resources / Electrical. bisacsh Catal�ao, Jo�ao P. S. 7 cbc orignew 1 ecip 20 y-gencatlg ddc BK 355261 355261 0 0 ddc 0 0 CAS-E CAS-E GEN 2013-04-15 Victoria co 0 333.79320685 ELE 2012 CAS-E0000133 2014-02-21 16383.00 2014-02-21 BK