Our latest journal article from my energy modeling research at Santa Clara University has been published in the ASME Journal of Engineering for Sustainable Buildings and Cities! The paper can be found here˺. Our work uses national survey data from the Residential Energy Consumption Survey and the American Time of Use Survey to create model households across different income levels. The energy consumption of these model households is statistically similar to real-life households and enables rapidly simulating different energy control and electricity pricing strategies and determining whether low-income consumers are disproportionately impacted. Integration with a fairness testing methodology and several applications will be shown in a second paper recently accepted to the journal Applied Energy — Update: Published as of November 3, 2023 and available here˺. Special thanks to lead author Hannah Covington, who developed much of the modeling algorithm, and co-authors Chenli Wang, Thomas Roth, Cuong Nguyen, and Hohyun Lee.
Citation:
Covington, H., Woo-Shem, B., Wang, C., Roth, T., Nguyen, C., and Lee, H. “Stochastic Method for Generating Residential Household Energy Models of Varying Income Level and Climate Zone for Testing Energy Fairness.” ASME. J. Eng. Sustain. Bldgs. Cities. February 2024; 5(1): 011001. https://doi.org/10.1115/1.4063592