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Author:

Barber, Nathan

Title:

Expanding the Range of Hydropower Schedules to Maximize Nuclear and Hydro Generation: Machine Learning Techniques for Practical Sensitivity Analysis

Graduate Program:

Civil Engineering

Keywords:

hydropower
nuclear
sensitivity analysis
ensembles
machine learning
clustering
hydrodynamic model
ANOVA

File:

Download Barber_Thesis_Final.pdf

Committee Members:

Alfonso Ignacio Mejia, Thesis Advisor/Co-Advisor
Steven J Greybush, Committee Member
Farshad Rajabipour, Program Head/Chair
Xiaofeng Liu, Committee Member