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100   $a20170113d2017      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aElectrical Power Unit Commitment $eDeterministic and Two-Stage Stochastic Programming Models and Algorithms /$fby Yuping Huang, Panos M. Pardalos, Qipeng P. Zheng
205   $a1st ed. 2017.
210  1$aNew York, NY :$cSpringer US :$cImprint: Springer,$d2017.
215   $a1 online resource (VIII, 93 p. 24 illus., 16 illus. in color.) 
225 1 $aSpringerBriefs in Energy,$x2191-5520
311   $a1-4939-6766-5 
320   $aIncludes bibliographical references.
327   $aIntroduction -- Deterministic Unit Commitment Models and Algorithms -- Two-Stage Stochastic Programming Models and Algorithms -- Nomenclature -- Renewable Energy Scenario Generation.
330   $aThis volume in the SpringerBriefs in Energy series offers a systematic review of unit commitment (UC) problems in electrical power generation. It updates texts written in the late 1990s and early 2000s by including the fundamentals of both UC and state-of-the-art modeling as well as solution algorithms and highlighting stochastic models and mixed-integer programming techniques. The UC problems are mostly formulated as mixed-integer linear programs, although there are many variants. A number of algorithms have been developed for, or applied to, UC problems, including dynamic programming, Lagrangian relaxation, general mixed-integer programming algorithms, and Benders decomposition. In addition the book discusses the recent trends in solving UC problems, especially stochastic programming models, and advanced techniques to handle large numbers of integer- decision variables due to scenario propagation.
410  0$aSpringerBriefs in Energy,$x2191-5520
606   $aEnergy policy
606   $aEnergy and state
606   $aPower electronics
606   $aEnergy systems
606   $aOperations research
606   $aManagement science
606   $aEnergy Policy, Economics and Management$3https://scigraph.springernature.com/ontologies/product-market-codes/112000
606   $aPower Electronics, Electrical Machines and Networks$3https://scigraph.springernature.com/ontologies/product-market-codes/T24070
606   $aEnergy Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/115000
606   $aOperations Research, Management Science$3https://scigraph.springernature.com/ontologies/product-market-codes/M26024
615  0$aEnergy policy.
615  0$aEnergy and state.
615  0$aPower electronics.
615  0$aEnergy systems.
615  0$aOperations research.
615  0$aManagement science.
615 14$aEnergy Policy, Economics and Management.
615 24$aPower Electronics, Electrical Machines and Networks.
615 24$aEnergy Systems.
615 24$aOperations Research, Management Science.
676   $a333.79
676   $a338.926
700   $aHuang$b Yuping$4aut$4http://id.loc.gov/vocabulary/relators/aut$0866277
702   $aPardalos$b Panos M$4aut$4http://id.loc.gov/vocabulary/relators/aut
702   $aZheng$b Qipeng P$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910253980703321
996   $aElectrical Power Unit Commitment$91933345
997   $aUNINA