Visualization of a connected energy network

Research

Resilient, efficient and socially aware energy systems.

We develop decision methods that connect grid physics, uncertainty, data and human behavior.

Research approach

Decisions grounded in both models and evidence.

Modern energy systems are increasingly renewable, distributed and interactive. Their operation depends not only on electrical constraints, but also on markets, uncertainty and the choices people make.

Our group combines optimization, simulation, machine learning and empirical studies to build methods that remain useful when those dimensions meet.

Optimization model for a community microgrid
01

Operations Research

Optimization under uncertainty.

We formulate planning and operating decisions as rigorous optimization problems, balancing physical feasibility, reliability, cost and uncertainty.

  • Distributionally robust and stochastic optimization
  • Maintenance and reserve scheduling
  • Electricity-market clearing and pricing
Frequency response and reserve allocation chart
02

Power System Operation & Control

Keeping low-carbon grids secure.

Our power-system work focuses on dynamic security as renewable generation and demand-side resources reshape conventional operating assumptions.

  • Frequency-resilient unit commitment
  • Primary response and operating reserves
  • Resilient AC optimal power flow
Data-enabled energy network visualization
03

Machine Learning

Learning that respects the system.

We use data to improve forecasting, planning and operational decisions while retaining the physical and reliability constraints that define power systems.

  • Data-enabled operational models
  • Risk and uncertainty representation
  • Decision-focused prediction
University of Macau campus connected by smart-city technology
04

Socio-technical Systems

Energy systems shaped by people.

Technical policies work only when they account for social acceptance, fairness and behavior. We study those factors directly and bring the evidence back into system design.

  • Community microgrid operation
  • Residential demand and negative pricing
  • Fairness and essential-service priorities

Research outputs

Read the work in full.

All publications