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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
- 학위논문파일 국외
- ISBN
- 9798516959332
- DDC
- 660
- 저자명
- Li, Can.
- 서명/저자
- Algorithms for Stochastic Mixed-Integer Nonlinear Programming and Long Term Optimization of Electric Power Systems
- 발행사항
- [Sl] : Carnegie Mellon University, 2021
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2021
- 형태사항
- 367 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 83-01, Section: B.
- 주기사항
- Advisor: Grossmann, Ignacio.
- 학위논문주기
- Thesis (Ph.D.)--Carnegie Mellon University, 2021.
- 사용제한주기
- This item must not be sold to any third party vendors.
- 일반주제명
- Chemical engineering
- 일반주제명
- Operations research
- 일반주제명
- Integer programming
- 일반주제명
- Sensitivity analysis
- 일반주제명
- Optimization
- 일반주제명
- Electric power
- 일반주제명
- Decomposition
- 일반주제명
- Approximation
- 일반주제명
- Linear programming
- 일반주제명
- Algorithms
- 일반주제명
- Clustering
- 일반주제명
- Confidence intervals
- 일반주제명
- Case studies
- 기타저자
- Carnegie Mellon University Chemical Engineering
- 기본자료저록
- Dissertations Abstracts International. 83-01B.
- 기본자료저록
- Dissertation Abstract International
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
008220131s2021 us c eng d■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[Sl]▼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
