Description
This product contains links to files that consist of PowerPoint slides synchronized with the audio-recording of the speaker (recorded presentation), PDF files of the slides, and audio only (mp3) as noted.
Data collection for measurement and verification for whole building energy performance usually requires one full year of measurement data. ASHRAE RP 1404 developed analysis methodologies for determining reduced time periods for monitoring that would satisfy accuracy levels required for annual energy performance verification. This session highlights the undertaken research, discussing the background of short-term monitoring for long-term prediction, the developed methodology, along with the results and analysis.
- An Hourly Hybrid Multivariate Change Point Inverse Model Using Short-Term Monitored Data for Annual Prediction of Building Energy Performance: Background and Methodology
Bass Abushakra, Ph.D., Member, Datadigm, LLC, Wauwatosa, WI - An Hourly Hybrid Multivariate Change Point Inverse Model Using Short-Term Monitored Data for Annual Prediction of Building Energy Performance: Results and Analysis
Mitch Paulus, P.E., Student Member, Texas A&M University, College Station, TX
- Predicting Building Energy Use Using Short-Term Monitoring and Daily Time Scales: The DBTA and the HIM-D Methods
T. Agami Reddy, Ph.D., P.E., Fellow ASHRAE, Arizona State University, Tempe, AZ
Run Time: 90 mins.
Citation: ASHRAE Seminar Recordings, 2017 ASHRAE Winter Conference, Las Vegas, NV
Product Details
- Published:
- 2017
- Units of Measure:
- Dual
- File Size:
- 1 file , 400 KB
- Product Code(s):
- D-LV17Sem62
