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020 ▼a 9798516959332
035 ▼a (MiAaPQ)AAI28498705
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 660
1001 ▼a Li, Can.
24510 ▼a Algorithms for Stochastic Mixed-Integer Nonlinear Programming and Long Term Optimization of Electric Power Systems.
260 ▼a [S.l.]: ▼b Carnegie Mellon University., ▼c 2021.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2021.
300 ▼a 367 p.
500 ▼a Source: Dissertations Abstracts International, Volume: 83-01, Section: B.
500 ▼a Advisor: Grossmann, Ignacio.
5021 ▼a Thesis (Ph.D.)--Carnegie Mellon University, 2021.
506 ▼a This item must not be sold to any third party vendors.
590 ▼a School code: 0041.
650 4 ▼a Chemical engineering.
650 4 ▼a Operations research.
650 4 ▼a Integer programming.
650 4 ▼a Sensitivity analysis.
650 4 ▼a Optimization.
650 4 ▼a Electric power.
650 4 ▼a Decomposition.
650 4 ▼a Approximation.
650 4 ▼a Linear programming.
650 4 ▼a Algorithms.
650 4 ▼a Clustering.
650 4 ▼a Confidence intervals.
650 4 ▼a Case studies.
690 ▼a 0542
690 ▼a 0796
71020 ▼a Carnegie Mellon University. ▼b Chemical Engineering.
7730 ▼t Dissertations Abstracts International ▼g 83-01B.
773 ▼t Dissertation Abstract International
790 ▼a 0041
791 ▼a Ph.D.
792 ▼a 2021
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T16052164 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 202202 ▼f 2022
990 ▼a ***1012033
991 ▼a E-BOOK