| Gradient boosting machine for modeling the energy consumption of commercial buildings S Touzani, J Granderson, S Fernandes Energy and Buildings 158, 1533-1543, 2018 | 465 | 2018 |
| Accuracy of automated measurement and verification (M&V) techniques for energy savings in commercial buildings J Granderson, S Touzani, C Custodio, MD Sohn, D Jump, S Fernandes Applied Energy 173, 296-308, 2016 | 125 | 2016 |
| Controlling distributed energy resources via deep reinforcement learning for load flexibility and energy efficiency S Touzani, AK Prakash, Z Wang, S Agarwal, M Pritoni, M Kiran, R Brown, ... Applied Energy 304, 117733, 2021 | 80 | 2021 |
| Statistical change detection of building energy consumption: Applications to savings estimation S Touzani, B Ravache, E Crowe, J Granderson Energy and Buildings 185, 123-136, 2019 | 62 | 2019 |
| Application of automated measurement and verification to utility energy efficiency program data J Granderson, S Touzani, S Fernandes, C Taylor Energy and Buildings 142, 191-199, 2017 | 53 | 2017 |
| Field evaluation of performance of HVAC optimization system in commercial buildings J Granderson, G Lin, R Singla, S Fernandes, S Touzani Energy and Buildings 173, 577-586, 2018 | 52 | 2018 |
| Sensitivity analysis and optimization of surfactant-polymer flooding under uncertainties F Douarche, S Da Veiga, M Feraille, G Enchéry, S Touzani, R Barsalou Oil & Gas Science and Technology–Revue d’IFP Energies nouvelles 69 (4), 603-617, 2014 | 45 | 2014 |
| Assessment of automated measurement and verification (M&V) methods J Granderson, S Touzani, C Custodio, M Sohn, S Fernandes, D Jump | 40 | 2015 |
| Open data and deep semantic segmentation for automated extraction of building footprints S Touzani, J Granderson Remote Sensing 13 (13), 2578, 2021 | 39 | 2021 |
| Method for evaluating an underground reservoir production scheme taking account of uncertainties D Busby, M Feraille, T Romary, S Touzani US Patent 8,392,164, 2013 | 31 | 2013 |
| Smoothing spline analysis of variance approach for global sensitivity analysis of computer codes S Touzani, D Busby Reliability Engineering & System Safety 112, 67-81, 2013 | 23 | 2013 |
| Screening method using the derivative-based global sensitivity indices with application to reservoir simulator S Touzani, D Busby Oil & Gas Science and Technology–Revue d’IFP Energies nouvelles 69 (4), 619-632, 2014 | 21 | 2014 |
| Evaluation of methods to assess the uncertainty in estimated energy savings S Touzani, J Granderson, D Jump, D Rebello Energy and Buildings 193, 216-225, 2019 | 18 | 2019 |
| Estimating sales and sales market share from sales rank data for consumer appliances S Touzani, R Van Buskirk Physica A: Statistical Mechanics and its Applications 451, 266-276, 2016 | 16 | 2016 |
| Assessment of Model-Based peak electric consumption prediction for commercial buildings J Granderson, M Sharma, E Crowe, D Jump, S Fernandes, S Touzani, ... Energy and Buildings 245, 111031, 2021 | 15 | 2021 |
| Corporate delivery of a global smart buildings program S Fernandes, J Granderson, R Singla, S Touzani Energy Engineering 115 (1), 7-25, 2018 | 14 | 2018 |
| A workflow for decision making under uncertainty D Busby, S Da Veiga, S Touzani Computational Geosciences 18, 519-533, 2014 | 13 | 2014 |
| Response surface methods based on analysis of variance expansion for sensitivity analysis S Touzani HAL 2011, 2011 | 10 | 2011 |
| A machine learning approach to estimate windows-to-wall ratio using drone imagery S Touzani, M Wudunn, S Fernandes, A Zakhor, R Najibi, J Granderson Remote Sensing Technologies and Applications in Urban Environments VI 11864 …, 2021 | 7 | 2021 |
| Aerial 3d building reconstruction from rgb drone imagery M WuDunn, A Zakhor, S Touzani, J Granderson Geospatial Informatics X 11398, 9-19, 2020 | 5 | 2020 |
Jessica GrandersonLawrence Berkeley National Laboratoryبريد إلكتروني تم التحقق منه على lbl.gov