The analysis effort during the first year of the Texas LoanSTAR
Monitoring and Analysis Program has emphasized selection and
development of baseline analysis techniques to cover the range
of buildings expected in the program. PRISM has been adopted
as the baseline technique for buildings which are appropriate for
treatment with one-, three- and five- parameter segmented
linear, change-point models. In addition to PRISM, two- and
four- parameter linear, segmented change-point models are
expected to be suitable for at least preliminary analysis of
monthly and daily data for all buildings in the program.
Regression analysis with hourly scheduling profiles will be used
for baseline analysis of hourly data.
Substantial effort has been devoted to exploratory analysis
intended to refine the analysis performed with the baseline
techniques. Work to date has centered on investigation of
Principal Component Analysis, an improved goodness-of-fit
indicator for n-parameter change-point models, and calibrated
simulation modeling.
Data from five buildings is used to explain and illustrate the
baseline analysis techniques and the exploratory work
conducted
