Synergistic Integration of Machine Learning and Mathematical Optimization in Power System Planning and Operations -- embargoed -- 2026-08

Digital Document
Metadata
Persons
Persons
Creator (cre): Wu, Jianghua
Major Advisor (mja): Luh, Peter B.
Co-Major Advisor (cma): Wang, Zongjie
Associate Advisor (asa): Pattipati, Krishna R.
Associate Advisor (asa): Zhang, Liang
Title
Title
Title
Synergistic Integration of Machine Learning and Mathematical Optimization in Power System Planning and Operations -- embargoed -- 2026-08
Supplied
yes
Origin Information
Origin Information
Event Place
Storrs, CT
Date Created
2023
Publisher
University of Connecticut (783)
Issuance
monographic
Parent Item
Parent Item
Dissertations
Resource Type
Resource Type
Text
Description
Description
This dissertation is embargoed through August 2026.
Language
Language
English
Genre
Genre
doctoral dissertations
Organizations
Organizations
Degree granting institution (dgg): University of Connecticut
Held By
Held By
Archives & Special Collections, University of Connecticut Library
Rights Statement
Rights Statement
IN COPYRIGHT
Use and Reproduction
Use and Reproduction
These Materials are provided for educational and research purposes only.
Note
Note
Note Type
local
Note
Power System Planning and Operations; Unit commitment (UC);
Mathematical Optimization; Machine Learning; Deep Neural Network;
Mixed-Integer Linear Programming; Surrogate Lagrangian Relaxation;
Surrogate Absolute Value Lagrangian Relaxation; Nonlinear
Optimization; Operations Research
Degree Name
Degree Name
Doctor of Philosophy
Degree Level
Degree Level
Ph.D.
Degree Discipline
Degree Discipline
Electrical Engineering
Local Identifier
Local Identifier
S_41566760

May contain sensitive language or subject matter
See CTDA's Statement on Sensitive Content. External link icon

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