June, 16 | 10:00 AM - 10:30 AM

Track 2B | Solving the Problem of Quantifying Efficiency

Thomas Yeh

NYSERDA | Technical Advisor

Presentation Title:

Big Data performance analysis of FDD and ASO implementations


The efficacy of cloud-based energy analytics based on rules engines or machine learning is commonly accepted as industry best practice. The performance of the algorithms, however, is rarely quantified. NYSERDA discusses the real-world impacts of Fault Detection and Diagnostics (FDD) and Automated System Optimization (ASO) analytics on the day-to-day operations of over 600 buildings in New York State. The Real-Time Energy Management (RTEM) program from NYSERDA partnered with over 40 leading technology providers and energy consultants to upgrade the existing building stock and enhance HVAC systems to eliminate energy waste and improve occupant’s comfort


Thomas Yeh is currently the Technical Advisor for NYSERDA's Real-time Energy Management (RTEM) Program. In its most current version, the RTEM program also incentivizes engaging commercial office tenants to lower their office spaces' energy and carbon intensity. The 'RTEM + Tenants' program offers incentives for buildings to integrate energy meters, environmental sensors, occupant counting, power quality meters, cloud-hosted data repositories, and machine learning analytics. Throughout his career, Thomas has helped administer numerous commercial and industrial programs. Thomas holds graduate degrees in Electrical Engineering and Computer Science, many industry certifications, and 20 US and International patents.

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