BTUS Energy Analytics
"Building fault detection and diagnostics: Achieved savings, and methods to evaluate algorithm performance." Building and Environment 168 (2020) 106505. .
"Deep Reinforcement Learning in Buildings: Implicit Assumptions and their Impact." RLEM'20: Proceedings of the 1st International Workshop on Reinforcement Learning for Energy Management in Buildings & Cities. 2020. .
"Developing and Evaluating Metrics for Demand Flexibility in Buildings: Comparing Simulations and Field Data." ACEEE Summer Study. 2020. .
Characterization and Survey of Automated Fault Detection and Diagnostics Tools. Berkeley, CA: Lawrence Berkeley National Laboratory, 2017. LBNL-2001075. .
"Beyond Widgets – Systems Incentive Programs for Utilities." ACEEE (2016). LBNL-1006195. .
Assessment of Automated Measurement and Verification (M&V) Methods. Berkeley: LBNL, 2015. LBNL-187225. .
Development of Diagnostic and M&V Agents, and Implementation in an Occupied Office Environment. Berkeley: Lawrence Berkeley National Laboratory, 2015. LBNL-6973E. .
"Green, Clean, & Mean: Pushing the Energy Envelope in Tech Industry Buildings." 2015. LBNL-1005070E. .