MC Mohamad Chehade
Publications
2026 HICSS

NEO-Grid: A Neural Approximation Framework for Optimization and Control in Distribution Grids

M. Chehade, H. Zhu

Proceedings of the 59th Hawaii International Conference on System Sciences (HICSS), 2026

A neural digital-twin approach for approximating distribution-grid physics while keeping optimization and control tractable.

paper code
NEO-Grid paper preview showing neural approximation for distribution-grid control
Preview cropped from the paper PDF.

Contribution

What this paper adds

  • Builds a neural approximation framework for distribution-grid optimization.
  • Targets tractable volt-var control through learned power-flow structure.
  • Connects data-driven models with interpretable control rules.