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Algorithms for Stochastic Mixed-Integer Nonlinear Programming and Long Term Optimization of Electric Power Systems.
Algorithms for Stochastic Mixed-Integer Nonlinear Programming and Long Term Optimization o...
Algorithms for Stochastic Mixed-Integer Nonlinear Programming and Long Term Optimization of Electric Power Systems.

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Material Type  
 학위논문
 
0016052164
Date and Time of Latest Transaction  
20220210093125
ISBN  
9798516959332
DDC  
660
Author  
Li, Can.
Title/Author  
Algorithms for Stochastic Mixed-Integer Nonlinear Programming and Long Term Optimization of Electric Power Systems.
Publish Info  
[S.l.] : Carnegie Mellon University., 2021
Publish Info  
Ann Arbor : ProQuest Dissertations & Theses, 2021
Material Info  
367 p.
General Note  
Source: Dissertations Abstracts International, Volume: 83-01, Section: B.
General Note  
Advisor: Grossmann, Ignacio.
학위논문주기  
Thesis (Ph.D.)--Carnegie Mellon University, 2021.
Restrictions on Access Note  
This item must not be sold to any third party vendors.
Subject Added Entry-Topical Term  
Chemical engineering.
Subject Added Entry-Topical Term  
Operations research.
Subject Added Entry-Topical Term  
Integer programming.
Subject Added Entry-Topical Term  
Sensitivity analysis.
Subject Added Entry-Topical Term  
Optimization.
Subject Added Entry-Topical Term  
Electric power.
Subject Added Entry-Topical Term  
Decomposition.
Subject Added Entry-Topical Term  
Approximation.
Subject Added Entry-Topical Term  
Linear programming.
Subject Added Entry-Topical Term  
Algorithms.
Subject Added Entry-Topical Term  
Clustering.
Subject Added Entry-Topical Term  
Confidence intervals.
Subject Added Entry-Topical Term  
Case studies.
Index Term-Uncontrolled  
Stochastic programming
Index Term-Uncontrolled  
Stochastic optimization
Index Term-Uncontrolled  
Mixed-integer linear programming
Added Entry-Corporate Name  
Carnegie Mellon University Chemical Engineering
Host Item Entry  
Dissertations Abstracts International. 83-01B.
Host Item Entry  
Dissertation Abstract International
Electronic Location and Access  
로그인을 한후 보실 수 있는 자료입니다.
소장사항  
202202 2022
Control Number  
joongbu:611763

MARC

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■00520220210093125
■020    ▼a9798516959332
■035    ▼a(MiAaPQ)AAI28498705
■040    ▼aMiAaPQ▼cMiAaPQ
■0820  ▼a660
■1001  ▼aLi,  Can.
■24510▼aAlgorithms  for  Stochastic  Mixed-Integer  Nonlinear  Programming  and  Long  Term  Optimization  of  Electric  Power  Systems.
■260    ▼a[S.l.]▼bCarnegie  Mellon  University.  ▼c2021
■260  1▼aAnn  Arbor▼bProQuest  Dissertations  &  Theses▼c2021
■300    ▼a367  p.
■500    ▼aSource:  Dissertations  Abstracts  International,  Volume:  83-01,  Section:  B.
■500    ▼aAdvisor:  Grossmann,  Ignacio.
■5021  ▼aThesis  (Ph.D.)--Carnegie  Mellon  University,  2021.
■506    ▼aThis  item  must  not  be  sold  to  any  third  party  vendors.
■590    ▼aSchool  code:  0041.
■650  4▼aChemical  engineering.
■650  4▼aOperations  research.
■650  4▼aInteger  programming.
■650  4▼aSensitivity  analysis.
■650  4▼aOptimization.
■650  4▼aElectric  power.
■650  4▼aDecomposition.
■650  4▼aApproximation.
■650  4▼aLinear  programming.
■650  4▼aAlgorithms.
■650  4▼aClustering.
■650  4▼aConfidence  intervals.
■650  4▼aCase  studies.
■653    ▼aStochastic  programming
■653    ▼aStochastic  optimization
■653    ▼aMixed-integer  linear  programming
■690    ▼a0542
■690    ▼a0796
■71020▼aCarnegie  Mellon  University▼bChemical  Engineering.
■7730  ▼tDissertations  Abstracts  International▼g83-01B.
■773    ▼tDissertation  Abstract  International
■790    ▼a0041
■791    ▼aPh.D.
■792    ▼a2021
■793    ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T16052164▼nKERIS▼z이  자료의  원문은  한국교육학술정보원에서  제공합니다.
■980    ▼a202202▼f2022

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