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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 of Electric Power Systems.
상세정보
- 자료유형
- 학위논문
- Control Number
- 0016052164
- International Standard Book Number
- 9798516959332
- Dewey Decimal Classification Number
- 660
- Main Entry-Personal Name
- Li, Can.
- Publication, Distribution, etc. (Imprint
- [S.l.] : Carnegie Mellon University., 2021
- Publication, Distribution, etc. (Imprint
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- Physical Description
- 367 p.
- General Note
- Source: Dissertations Abstracts International, Volume: 83-01, Section: B.
- General Note
- Advisor: Grossmann, Ignacio.
- Dissertation Note
- 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.
- Control Number
- joongbu:611763
MARC
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■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
