http://orcid.org/0000-0001-6662-8165
References
- ASHRAE. 2014. Guideline 14-2002, Measurement of Energy and Demand Savings. Atlanta: ASHRAE.
- Crawford, R., R. Dykowski, and S. Czajkowski. 1991. A segmented linear least-squares modeling procedure for nonlinear HVAC components. ASHRAE Transactions 97:11–8.
- Fels, M.F. 1986. PRISM: An introduction. Energy and Buildings 9(1–2):5–18.
- Fels, M.F., and M.L. Goldberg. 1986. Using the scorekeeping approach to monitor aggregate energy conservation. Energy and Buildings 9(1–2):161–8.
- Flouquet, F. 1992. Local weather correlations and bias in building parameter estimates from energy-signature models. Energy and Buildings 19(2):113–23.
- Hammarsten, S. 1987. A critical appraisal of energy-signature models. Applied Energy 26(2):97–110.
- Hinkley, D.V. 1969. Inference about the intersection in two-phase regression. Biometrika 56(3):495–504.
- Hudson, D.J. 1966. Fitting segmented curves whose join points have to be estimated. Journal of the American Statistical Association 61(316):1097–129.
- Kim, K.H., and J.S. Haberl. 2015. Development of methodology for calibrated simulation in single-family residential buildings using three-parameter change-point regression model. Energy and Buildings 99:140–52.
- Kissock, J.K., and C. Eger. 2008. Measuring industrial energy savings. Applied Energy 85(5):347–61.
- Kissock, J.K., J.S. Haberl, and D.E. Claridge. 2002. Development of a toolkit for calculating linear, change-point linear and multiple-linear inverse building energy analysis models. ASHRAE Research Project 1050-RP Final Report.
- Lerman, P.M. 1980. Fitting segmented regression models by grid search. Applied Statistics 29(1):77–84.
- Masuda, H., and D.E. Claridge. 2014. Statistical modeling of the building energy balance variable for screening of metered energy use in large commercial buildings. Energy and Buildings 77:292–303.
- Paulus, M.T., D.E. Claridge, and C. Culp. 2015. Algorithm for automating the selection of a temperature dependent change point model. Energy and Buildings 87:95–104.
- Rabl, A., and A. Rialhe. 1992. Energy signature models for commercial buildings: Test with measured data and interpretation. Energy and Buildings 19(2):143–54.
- Ruch, D., and D.E. Claridge. 1992. A four-parameter change-point model for predicting energy consumption in commercial buildings. Journal of Solar Energy Engineering 114(2):77.
- SAS Institute Inc. 2011. SAS/STAT 9.3 User's Guide. Cary, NC: SAS Institute Inc.
- Sjögren, J.-U., S. Andersson, and T. Olofsson. 2009. Sensitivity of the total heat loss coefficient determined by the energy signature approach to different time periods and gained energy. Energy and Buildings 41(7):801–8.
- Stram, D.O., and M.F. Fels. 1986. The applicability of PRISM to electric heating and cooling. Energy and Buildings 9(1–2):101–10.
- U.S. Department of Energy. 2002. International Performance Measurement & Verification Protocol: Concepts and Options for Determining Energy and Water Savings.