| Developing a physical BIM library for building thermal energy simulation JB Kim, WS Jeong, MJ Clayton, JS Haberl, W Yan Automation in construction 50, 16-28, 2015 | 271 | 2015 |
| Predicting hourly building energy use: The great energy predictor shootout--Overview and discussion of results JF Kreider, JS Haberl American Society of Heating, Refrigerating and Air-Conditioning Engineers …, 1994 | 256 | 1994 |
| Building Information Modeling (BIM)-based daylighting simulation and analysis S Kota, JS Haberl, MJ Clayton, W Yan Energy and buildings 81, 391-403, 2014 | 210 | 2014 |
| Inverse modeling toolkit: numerical algorithms JK Kissock, JS Haberl, DE Claridge ASHRAE transactions 109, 425, 2003 | 204 | 2003 |
| Building energy use prediction and system identification using recurrent neural networks JF Kreider, DE Claridge, P Curtiss, R Dodier, JS Haberl, M Krarti | 134 | 1995 |
| Procedures for calibrating hourly simulation models to measured building energy and environmental data JS Haberl, TE Bou-Saada | 132 | 1998 |
| 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 | 130 | 2002 |
| 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 | 125 | 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 |
| Thermal zoning for building HVAC design and energy simulation: A literature review M Shin, JS Haberl Energy and Buildings 203, 109429, 2019 | 97 | 2019 |
| 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 | 97 | 2005 |
| The ASHRAE great energy predictor III competition: Overview and results C Miller, P Arjunan, A Kathirgamanathan, C Fu, J Roth, JY Park, ... Science and Technology for the Built Environment 26 (10), 1427-1447, 2020 | 92 | 2020 |
| Procedure for calibrating the DOE-2 simulation program to non-weather-dependent measured loads. DJ Bronson, SB Hinchey, JS Haberl, DL O'Neal ASHRAE Winter Meeting, Anaheim, CA, USA, 01/25-29/92, 636-652, 1992 | 90 | 1992 |
| An expert system for building energy consumption analysis: prototype results JS Haberl, DE Claridge ASHRAE transactions 93, 979-998, 1987 | 90 | 1987 |
| 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 | 89 | 2000 |
| Great energy predictor shootout II: Measuring retrofit savings--overview and discussion of results JS Haberl, S Thamilseran American Society of Heating, Refrigerating and Air-Conditioning Engineers …, 1996 | 88 | 1996 |
| 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 |
| An improved procedure for developing calibrated hourly simulation models TE Bou-Saada, JS Haberl IBPSA-USA (http://www. ibpsa. us), 1995 | 86 | 1995 |
| Compilation of diversity factors and schedules for energy and cooling load calculations B Abushakra, A Sreshthaputra, J Haberl, DE Claridge ASHRAE research project 1093, 2001 | 80 | 2001 |
| Translating building information modeling to building energy modeling using model view definition WS Jeong, JB Kim, MJ Clayton, JS Haberl, W Yan The Scientific World Journal 2014 (1), 638276, 2014 | 78 | 2014 |
David E. ClaridgeTexas A&M University在 tamu.edu 的电子邮件经过验证
