Data Science Meets ASHRAE: The Great Energy Predictor Competition III
Dr. Miller will present the plans for the upcoming Great Energy Predictor Competition III that is scheduled to be launched in Oct 2019. This competition will be the long-awaited continuation of the ASHRAE Predictor Shootout I (1993) and Predictor Shootout II (1995) competitions. In this contest, ASHRAE has developed a new competition to determine who has the most accurate procedure(s) for automatically predicting whole-building energy use for a large number of buildings. The prediction of building energy use is important for many different purposes, including developing baselines, improving diagnostics, optimizing building energy use, improving electric grid management to name a few.
National University of Singapore (NUS)
Dr. Clayton Miller is an Assistant Professor at the National University of Singapore (NUS) as the leader of the Building and Urban Data Science (BUDS) Lab. He was recently a Fellow at the Institute of Technology in Architecture (ITA) at the ETH Zürich (Swiss Federal Institute of Technology - Zurich) within the Architecture and Building Systems (A/S) group. His research focuses on performance data analytics using thousands of real-world case study buildings collected from facilities around the world. He is a collaborator on the 3for2 Project in Singapore, a study focused on the implementation of low exergy radiant cooling and decentralized dehumidification technologies in a tropical climate. He was formerly the CTO of a Singaporean startup company, Optiras Pte Ltd. that developed monitoring technologies for buildings. Clayton holds a Doctorate of Sciences (Dr. sc. ETH Zurich) from the ETH Zürich, a MSc. (Building) from the National University of Singapore (NUS), and a Master of Architectural Engineering (MAE) and BSc. from the University of Nebraska. He is a former U.S. Fulbright Student Scholar to Singapore at NUS and a Walter Scott Jr. Scholar in Nebraska.