Caitlin McMahon supports E3’s work in distributed energy resources analysis with an emphasis on geospatial electrification forecasting and electric vehicle load management. She provides technical leadership for the Forecasting Anywhere model, managing E3’s deployment of the tool for geospatial electrification adoption and grid impact analyses. Prior to E3, Ms. McMahon completed research at Stanford while earning a master’s degree in Energy Resources Engineering. Her research focused on enhancing demand response in commercial buildings. She previously interned in the Grid Modernization group at National Grid and in the Electrical Engineering department at the New York Power Authority.
From a young age, Caitlin has been passionate about the reliable and cost-effective transition to a clean energy sector. Caitlin’s interests stem from her undergraduate years at Union College, where she created models to optimize the campus microgrid. Caitlin’s internship experiences also shaped her drive to enable decarbonization of the electricity sector.
Outside of her work and research, Caitlin is interested in hiking, spending time outdoors and with family, and creating recipes.
Education: MS, Energy Resources Engineering, Stanford University; BS, Electrical Engineering, Union College
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