摘要
RISE seminar on 15 August 2024 (Thursday).
Presentation Title: Machine Learning (ML) Based Data-driven Smart Building Applications and Challenges
Abstract:
ML based methods have shown great potentials to provide cost-effective solutions for building performance improvement and building-grid integration. This seminar introduces the state-of-the-arts of typical ML based data-driven smart building applications, such as ML based model predictive control, fault detection and diagnosis, and occupant centric control. The seminar will discuss the gaps and challenges of applying ML based methods in real buildings, such as data quality and method scalability. The seminar will also provide an overview of International Energy Agency’s ANNEX 81 (Data-driven Smart Buildings) as well as other on-going projects that the speaker is engaged in.
Don’t miss this great chance!
Programme
|
Time |
Activities |
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2:30pm-2:35pm (5 mins) |
Opening Remarks
|
|
2:35pm-3:10pm (35 mins) |
“Machine Learning (ML) Based Data-driven Smart Building Applications and Challenges” Professor Jin WEN |
|
3:10pm-3:25pm (15 mins) |
Q&A Session
|
|
3:25pm-3:30pm (5 mins) |
Closing Remarks
|
|
3:30pm |
End of Seminar |
Remarks:
*Participant will receive a confirmation e-mail after successful registration within few days.
*Note: E-certificate will only be issued upon request to participants who attend the whole seminar. Format of e-certificate: E-mail confirmation of Attendance. It will be sent to you on or before 31 August 2024. When joining the seminar, please use the same display name and email address as in the registration.
講者
Professor Jin WEN
Professor in the Department of Civil, Architectural, and Environmental Engineering,
Associate Dean for Research and Innovation of the College of Engineering,
Drexel University
Biography
Dr. Jin Wen is the Associate Dean for Research and Innovation of the College of Engineering, and a Professor in the Department of Civil, Architectural, and Environmental Engineering at Drexel University. She is a Fellow of American Society of Heating Refrigeration and Air-conditioning Engineers (ASHRAE) and currently the Vice Chair of ASHRAE’s Research Administration Committee (RAC), which oversees and coordinates all ASHRAE research activities. She is the Task Leader for International Energy Agency (IEA)’s Energy in Buildings and Communities (EBC) Annex 81 (Data-Driven Smart Buildings) Task C (Applications). Dr. Wen was selected as the U.S. Fulbright Scholar for 2019-2020 (Sweden).
Dr. Wen has more than twenty-years experiences in the smart building field, firstly as an application engineer working for Johnson Controls Inc. and later as a researcher in the areas of automated fault detection and diagnosis, building-to-grid integration, model predictive control, regional energy modeling, and occupant behavior simulation. Her work has been funded by the U.S. Department of Energy, the National Institute of Standard Technology, the National Science Foundation, the Department of Homeland Security, and ASHRAE. She has published 70+ journal papers and has 4800+ citation (Google Scholar).
