I am a PhD Candidate 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, optimization, and machine learning to address challenges related to demand-side flexibility, electrification, and DER integration in electric power systems. 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

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 strategies for residential water heaters was published in IEEE Transactions on Smart Grid

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

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