| Inverse modeling toolkit: numerical algorithms JK Kissock, JS Haberl, DE Claridge ASHRAE transactions 109, 425, 2003 | 212 | 2003 |
| Calibration procedure for energy performance simulation of a commercial building J Yoon, EJ Lee, DE Claridge J. Sol. Energy Eng. 125 (3), 251-257, 2003 | 197 | 2003 |
| The cost-effectiveness of commercial-buildings commissioning E Mills, H Friedman, T Powell, N Bourassa, D Claridge, T Haasl, MA Piette LBNL-56637, 2004 | 168 | 2004 |
| Ambient-temperature regression analysis for estimating retrofit savings in commercial buildings JK Kissock, TA Reddy, DE Claridge | 146 | 1998 |
| Analytical model to predict annual soil surface temperature variation M Krarti, C Lopez-Alonzo, DE Claridge, JF Kreider | 145 | 1995 |
| Building energy use prediction and system identification using recurrent neural networks JF Kreider, DE Claridge, P Curtiss, R Dodier, JS Haberl, M Krarti | 142 | 1995 |
| 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 JK Kissock, JS Haberl, DE Claridge Energy Systems Laboratory, Texas A&M University, 2002 | 136 | 2002 |
| Multivariate regression modeling S Katipamula, TA Reddy, DE Claridge | 132 | 1998 |
| System and method for remote monitoring and controlling of facility energy consumption CH Culp, DE Claridge, JS Haberl, WD Turner US Patent 7,356,548, 2008 | 130 | 2008 |
| Can You Achieve 150% of Predicted Retrofit Savings: Is It Time for Recommissioning? DE Claridge, J Haberl, M Liu, J Houcek, A Athar Proceedings of the ACEEE 1994 Summer Study on Energy Efficiency in Buildings …, 1994 | 120 | 1994 |
| Development and testing of an automated building commissioning analysis tool (ABCAT) JD Bynum, DE Claridge, JM Curtin Energy and Buildings 55, 607-617, 2012 | 114 | 2012 |
| A four-parameter change-point model for predicting energy consumption in commercial buildings D Ruch, DE Claridge | 114 | 1992 |
| ASHRAE's Guideline 14-2002 for Measurement of Energy and Demand Savings: How to Determine what was really saved by the retrofit JS Haberl, DE Claridge, C Culp Energy Systems Laboratory (http://esl. tamu. edu), 2005 | 100 | 2005 |
| Using synthetic data to evaluate multiple regression and principal component analyses for statistical modeling of daily building energy consumption TA Reddy, DE Claridge Energy and buildings 21 (1), 35-44, 1994 | 94 | 1994 |
| Campus-wide continuous commissioning of university buildings DE Claridge, CH Culp, M Liu, S Deng, WD Turner, JS Haberl Proceedings of the 2000 ACEEE Summer Study of Energy Efficiency in Buildings …, 2000 | 91 | 2000 |
| An expert system for building energy consumption analysis: prototype results JS Haberl, DE Claridge ASHRAE transactions 93, 979-998, 1987 | 90 | 1987 |
| A Fourier series model to predict hourly heating and cooling energy use in commercial buildings with outdoor temperature as the only weather variable A Dhar, TA Reddy, DE Claridge | 89 | 1999 |
| Baselining methodology for facility-level monthly energy use-part 1: Theoretical aspects TA Reddy, NF Saman, DE Claridge, JS Haberl, WD Turner, AT Chalifoux ASHRAE transactions, 336-347, 1997 | 86 | 1997 |
| Uncertainty of “measured” energy savings from statistical baseline models TA Reddy, DE Claridge HVAC&R Research 6 (1), 3-20, 2000 | 84 | 2000 |
| Use of simplified system models to measure retrofit energy savings S Katipamula, DE Claridge | 82 | 1993 |