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Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/249543
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dc.titleROBUST DATA-DRIVEN SPARSE SENSITIVITY ESTIMATION: THEORY AND APPLICATIONS TO CYBER-PHYSICAL-SOCIAL POWER SYSTEMS
dc.contributor.authorLIANG YINGQI
dc.date.accessioned2024-08-13T02:45:39Z
dc.date.available2024-08-13T02:45:39Z
dc.date.issued2024-01-24
dc.identifier.citationLIANG YINGQI (2024-01-24). ROBUST DATA-DRIVEN SPARSE SENSITIVITY ESTIMATION: THEORY AND APPLICATIONS TO CYBER-PHYSICAL-SOCIAL POWER SYSTEMS. ScholarBank@NUS Repository.
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/249543
dc.language.isoen
dc.subjectpower system, sensitivity analysis, situational awareness, machine learning, robust statistics, high-performance computing
dc.typeThesis
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.contributor.supervisorDipti Srinivasan
dc.description.degreePh.D
dc.description.degreeconferredDOCTOR OF PHILOSOPHY (CDE-ENG)
dc.identifier.orcid0000-0002-3900-4565
Appears in Collections:Ph.D Theses (Closed)

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