Effect of length of measurement period on accuracy of predicted annual heating energy consumption of buildings

Schiller Associates. M&V Guidelines for Federal Energy Project, USA, 1996 Wu J, Reddy TA, Claridge ED. Statistical modeling of daily energy consumption in commercial buildings using multiple regression and principal component analysis. In: Proceedings of the 8th Symposium on Improving Building System in Hot and Humid Climates, Dallas, 1992. p. 155–64 Kissock JK, Reddy TA, Fletcher D, Claridge ED. The effect of short data periods on the annual prediction accuracy of temperature-dependent regression models of commercial building energy use. In: ASME 1993 International Solar Energy Conference, Washington, DC, 1993. p. 455–63 Wang J, Claridge ED. Impact of nighttime shut down on the prediction accuracy of monthly regression models for energy consumption in commercial buildings. In: Proceedings of the 11th Symposium on Improving Building System in Hot and Humid Climate, Texas, 1998. pp. 334–41 Lee, 2000, A study for predicting building energy use with regression analysis, Korean J. Air-Conditioning Refrigeration Eng., 12, 1090 Kim SM, Kang HG. Understanding statistics with microsoft excel. DooNam, Seoul, 2000. p. 260