02933cam a22002894a 450000100090000000300120000900500170002100800410003801000170007902000190009604000180011504200080013305000230014108200310016408400450019524501360024026000360037630000460041250400510045852018040050965000440231365000400235765000630239765000830246065000700254370000300261317126960Nust- CAS-E20180118181355.0120119s2012    flua     b    001 0 eng    a  2011050407  a9781439893944   aDLCcDLCdDLC  apcc00aTK1001b.E424 201200a333.79320685223bELE 2012  aTEC008000aTEC031010aTEC0310202bisacsh00aElectric power systems :badvanced forecasting techniques and optimal generation scheduling /c[edited by] Jo�ao P.S. Catal�ao.  aBoca Raton :bCRC Press,c2012.  a1 v. (various pagings ) :bill. ;c24 cm.  aIncludes bibliographical references and index.  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"-- 0aElectric power productionxForecasting. 0aElectric power systemsxManagement. 7aTECHNOLOGY & ENGINEERING / Electronics / General.2bisacsh 7aTECHNOLOGY & ENGINEERING / Power Resources / Alternative & Renewable.2bisacsh 7aTECHNOLOGY & ENGINEERING / Power Resources / Electrical.2bisacsh1 aCatal�ao, Jo�ao P. S.