| Predicting future hourly residential electrical consumption: A machine learning case study RE Edwards, J New, LE Parker Energy and Buildings 49, 591-603, 2012 | 504 | 2012 |
| Evaluation of weather datasets for building energy simulation M Bhandari, S Shrestha, J New Energy and Buildings 49, 109-118, 2012 | 189 | 2012 |
| Evaluation of “Autotune” calibration against manual calibration of building energy models G Chaudhary, J New, J Sanyal, P Im, Z O’Neill, V Garg Applied energy 182, 115-134, 2016 | 128 | 2016 |
| Constructing Large Scale Surrogate Models from Big Data and Artificial Intelligence RE Edwards, JR New, LE Parker, B Cui, J Dong Applied Energy, 2017 | 70 | 2017 |
| Understanding the long-term effects of environmental exposure on roof reflectance in California MD Cheng, W Miller, J New, P Berdahl Construction and Building Materials 26 (1), 516-526, 2012 | 55 | 2012 |
| Fusion of multi-modality volumetric medical imagery M Aguilar, JR New Proceedings of the Fifth International Conference on Information Fusion …, 2002 | 55 | 2002 |
| Empirical validation of building energy modeling for multi-zones commercial buildings in cooling season P Im, J Joe, Y Bae, JR New Applied Energy 261, 114374, 2020 | 53 | 2020 |
| Autotune EnergyPlus building energy models JR New, J Sanyal, M Bhandari, S Shrestha Proceedings of the 5th National SimBuild of IBPSA-USA, 1-3, 2012 | 53* | 2012 |
| Facilitating user interaction with complex systems via hand gesture recognition JR New, E Hasanbelliu, M Aguilar Proceedings of the 2003 Southeastern ACM Conference, Savannah, GA, 2003 | 37 | 2003 |
| Suitability of ASHRAE guideline 14 metrics for calibration A Garrett, JR New Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States), 2016 | 36 | 2016 |
| Automatic building energy model creation (AutoBEM) for urban-scale energy modeling and assessment of value propositions for electric utilities J New, M Adams, P Im, L Yang, J Hambrick, WE Copeland, LB Bruce, ... Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States), 2018 | 34 | 2018 |
| Air source integrated heat pump simulation model for EnergyPlus B Shen, J New, V Baxter Energy and Buildings 156, 197-206, 2017 | 34 | 2017 |
| Calibrating building energy models using supercomputer trained machine learning agents J Sanyal, J New, RE Edwards, L Parker Concurrency and Computation: Practice and Experience 26 (13), 2122-2133, 2014 | 34 | 2014 |
| Impacts of the morphology of new neighborhoods on microclimate and building energy MR Allen-Dumas, AN Rose, JR New, OA Omitaomu, J Yuan, ... Renewable and Sustainable Energy Reviews 133, 110030, 2020 | 33 | 2020 |
| Simulation and big data challenges in tuning building energy models J Sanyal, J New 2013 Workshop on Modeling and Simulation of Cyber-Physical Energy Systems …, 2013 | 28 | 2013 |
| Comparison of software models for energy savings from cool roofs J New, WA Miller, YJ Huang, R Levinson Energy and Buildings 114, 130-135, 2016 | 25 | 2016 |
| How will United States commercial building energy use be impacted by IPCC climate scenarios? B Bass, J New Energy 263, 125945, 2023 | 23 | 2023 |
| Updated OpenStudio small and medium office prototype models P Im, JR New, Y Bae Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States), 2019 | 22 | 2019 |
| Potential energy, demand, emissions, and cost savings distributions for buildings in a utility’s service area B Bass, J New, W Copeland Energies 14 (1), 132, 2020 | 20 | 2020 |
| Supercomputer assisted generation of machine learning agents for the calibration of building energy models J Sanyal, J New, R Edwards Proceedings of the conference on extreme science and engineering discovery …, 2013 | 20 | 2013 |
Jibonananda SanyalNational Renewable Energy Laboratory在 nrel.gov 的电子邮件经过验证