Skip to main content
King Abdullah University of Science and Technology
Numerical Methods for PDEs
NumPDE
Numerical Methods for PDEs

Main navigation

  • Home
  • People
    • All Profiles
    • Principal Investigators
    • Postdoctoral Fellows
    • Students
    • Former Members
  • Events
    • All Events
    • Events Calendar
  • News
  • About
  • Activities
  • Slides
  • NumPDE Workshop 2025
  • CAMWA 50
  • POEMS 2026

data-driven planning and operation

KAUST-CEMSE-ECE-PhD-Dissertation-Defense-Otavio-Jose-Dezem-Bertozzi-Junior

Modeling, Analysis, and Control for Planning and Operation of Modern Mixed-Generation Power Systems

Otavio Bertozzi, Ph.D. Student, Electrical and Computer Engineering
Nov 19, 09:30 - 10:30

B5, L5, R5209

mixed-generation power systems stability-aware modeling data-driven planning and operation renewable energy integration

This dissertation presents an interpretable framework for modeling, planning, and control of mixed-generation power systems, integrating ternary stability-aware planning, reinforcement learning-based control tuning, and data-driven stability forecasting to bridge analytical models with real-time operation in converter-dominated grids.

Numerical Methods for PDEs (NumPDE)

Footer

  • A-Z Directory
    • All Content
    • Browse Related Sites
  • Site Management
    • Log in

© 2025 King Abdullah University of Science and Technology. All rights reserved. Privacy Notice