Travis Walter is a Graduate Student Research Assistant at Lawrence Berkeley National Laboratory and a Ph.D. Student at the University of California, Berkeley in in Civil and Environmental Engineering Department. Travis' research focuses on energy efficiency in buildings. He develops statistical models for predicting building energy use based on limited data, with an emphasis on quantifying the uncertainty in the predictions. He uses the models to identify cost effective opportunities for equipment retrofits and other energy conservation measures, and for establishing weather-normalized energy baselines for measurement and verification purposes.
"A regression-based approach to estimating retrofit savings using the Building Performance Database." Applied Energy 179 (2016) 996 - 1005. .
"Big Data Analytics in the Building Industry." ASHRAE Journal (2016) 38-45. LBNL-1005983. .
"Beyond Widgets – Systems Incentive Programs for Utilities." ACEEE (2016). LBNL-1006195. .
"Big-data for building energy performance: Lessons from assembling a very large national database of building energy use." Applied Energy 140 (2015) 85 - 93. .
Data Preparation Process for the Buildings Performance Database. 2014. LBNL6724E. .
"Uncertainty estimation improves energy measurement and verification procedures." Applied Energy 130 (2014) 230 - 236. .
"Siting Samplers to Minimize Expected Time to Detection." Risk Analysis 32.12 (2012) 2032 - 2042. .