°Õ³ó±ðÌý (GRIFFIN) lab is led by Assistant ProfessorÌýKyri Baker.Ìý The lab'sÌýresearch topics focus on optimization and machine learning applied to buildings and the power grid. The interactions between buildings and the grid have traditionally been very limited, but with increasing needs to decarbonize and improve energy system resiliency, these two systems must work together in tandem. For example, demand response, which can allow buildings to help the grid achieve economic, environmental, and operational goals, can be designed in a manner that has minimal negative impact on building occupants but can help buildings lower bills and decrease their carbon footprint.

The topics that members of the GRIFFIN Lab work on include, but are not limited to:

- EnergyÌýsustainability and resiliency
-ÌýPower systemsÌýoperation, control, and planning
-ÌýRenewable energyÌý¾±²Ô³Ù±ð²µ°ù²¹³Ù¾±´Ç²Ô
-ÌýBuilding-to-gridÌý¾±²Ô³Ù±ð°ù²¹³¦³Ù¾±´Ç²Ô²õ
-ÌýWater-Energy NexusÌý²õ³Ù³Ü»å¾±±ð²õ
- Stochastic and distributed optimizationÌýfor energy applications

Model-free reinforcement learning for designing electricity prices for smart communities

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Optimal placement of cross-border transmission lines for renewable integration

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How including water objectives can affect power system operation

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