Grid of Tomorrow meets in Indianapolis
A public forum on grid planning, flexibility, and AI, followed by member and student activities.
Explore the programPURDUE UNIVERSITY / I²GS LAB
We develop methods in optimization, game theory, and machine learning to understand and improve decision-making in energy markets, infrastructure systems, and public policy.
Physical networks. Strategic decisions. Sustainable outcomes.
A public forum on grid planning, flexibility, and AI, followed by member and student activities.
Explore the programHow workload allocation and electricity contracts shape system emissions.
Read the preprintHaixiang Sun and Andrew Liu’s work on optimal transport and robust generalization.
Read the paper01 / RESEARCH FRONTIERS
Our work spans optimization and learning, market design, and energy infrastructure.
OPTIMIZATION + LEARNING
Theory and algorithms for optimization and equilibrium problems, including distributed algorithms and stochastic optimization.
Explore the methods ↗MARKETS + INCENTIVES
Learning algorithms for decision-making in multi-agent systems, with applications to energy markets and distributed resources.
Explore multiagent learning ↗ENERGY + INFRASTRUCTURE
Infrastructure investment, DER integration into wholesale markets, and emissions analysis.
Explore energy and infrastructure ↗02 / RESEARCH MEETS INDUSTRY
A PURDUE–INDUSTRY RESEARCH CONSORTIUM
The Grid of Tomorrow Consortium brings Purdue researchers together with utilities, system operators, technology companies, and large electricity users to address the challenges reshaping the grid.
03 / OPEN RESEARCH
OUR RESEARCH COMMUNITY
Explore the group, discuss a research question, or connect with our industry community.