I am a graduating PhD student in the Department of Mechanical Engineering at Stanford University and a member of the Stanford Sustainable Systems Lab (S3L), where I am advised by Professor Ram Rajagopal. I am interested in using tools from controls and optimization to address challenges related to demand-side flexibility, electrification, and DER integration in electric power systems. My most recent projects focus on developing predictive control strategies for grid-interactive residential water heaters. Check out my publications and research projects for more information about my work.

During graduate school, I have been supported by a Stanford Graduate Fellowship and a National Science Foundation Graduate Research Fellowship. I received my M.S. from Stanford University in 2019 and B.S. from Tufts University in 2017, both in Mechanical Engineering. I was also previously a research intern at the National Renewable Energy Laboratory (NREL) and at Oak Ridge National Laboratory (ORNL), working on residential building simulation and energy systems modeling.

Email: ebuech (at) stanford (dot) edu

Latest News

10/4/24 - I successfully defended my PhD dissertation titled “Data-driven modeling and control of residential loads for grid flexibility”!

8/28/24 - I presented our work on model predictive control strategies for residential water heater load shifting at the SIGEnergy Graduate Student Seminar

8/6/24 - We posted a new preprint on designing model predictive control strategies for residential grid-interactive water heaters.

4/23/24 - Our patent on a “Behind-the-meter resource management system” for commercial dairy farms was granted.

3/14/24 - I presented our work on model predictive control strategies for grid-interactive water heaters at the ACEEE Hot Water Forum. See the slides here.

2/15/24 - Our new paper on model predictive control (MPC) strategies for residential water heaters was published in IEEE Transactions on Smart Grid. This work analyzes the impact of control model fidelity on MPC performance through experimental testing and simulations.

2/9/24 - I presented our work on model predictive control strategies for grid-interactive water heaters to the Advanced Water Heating Initiative (AWHI) Connectivity Working Group. Check out the presentation recording here.

12/7/23 - Our EV-EcoSim paper was published in IEEE Transactions on Smart Grid and the code is available on github