Dr. Samir Touzani is a Statistician Reaserach Scientist within the Building Technology and Urban Systems Division at Lawrence Berkeley National Laboratory. Dr. Touzani's research interests lie at the intersection of Machine Learning, Statistics and Energy Efficiency. Most of his current work focuses on developing data driven methods to solve energy performance analysis problems. Prior to joining LBNL, Dr. Touzani was a Research Scientist at the French Institute of Petroleum (IFP Energies Nouvelles) where he conducted research in the development of statistical learning and uncertainty quantification methods and tools for oil and gas reservoir engineering applications. He received a Master's degree in Physics from Pierre and Marie Curie University and a Ph.D. in Statistics from Joseph Fourier University.
"Machine Learning for Automated Extraction of Building Geometry." The American Council for an Energy-Efficient Economy. 2020. .
"Spatio-temporal impacts of a utility’s efficiency portfolio on the distribution grid." Energy 212.118669 (2020). .
"Aerial 3D Building Reconstruction from RGB Drone Imagery." SPIE Geospatial Informatics X. 2020. .
"Evaluation of Methods to Assess the Uncertainty in Estimated Energy Savings." Energy and Buildings 193 (2019). .
"Statistical change detection of building energy consumption: Applications to savings estimation." Energy and Buildings 185 (2019) 123 - 136. .
"Field evaluation of performance of HVAC optimization system in commercial buildings." Energy and Buildings 173 (2018) 577 - 586. .
"Corporate Delivery of a Global Smart Buildings Program." Energy Engineering (2018). LBNL-2001096. .
"Gradient boosting machine for modeling the energy consumption of commercial buildings." Energy and Buildings (2018). LBNL-2001097. .
"Application of Automated Measurement and Verification to Utility Energy Efficiency Program Data." Energy and Buildings 142 (2017) 191-199. LBNL-1007286. .
Technology Assessments of High Performance Envelope with Optimized Lighting, Solar Control, and Daylighting. Berkeley, CA: Lawrence Berkeley National Laboratory, 2016. LBNL-2001051. .
"Accuracy of Automated Measurement and Verification (M&V) Techniques for Energy Savings in Commercial Buildings." Applied Energy 173 (2016) 296-308. LBNL-1005181. .
"Will the Measurement Robots Take Our Jobs? An Update on the State of Automated M&V for Energy Efficiency Programs." Proceedings of the 2016 ACEEE Summer Study on Energy Efficiency in Buildings, Pacific Grove, CA, August 2016." (2016). LBNL-1006283. .
Assessment of Automated Measurement and Verification (M&V) Methods. Berkeley: LBNL, 2015. LBNL-187225. .
"M & V Shootout: Setting the Stage For Testing the Performance of New Energy Baseline." 2015 International Energy Program Evaluation Conference. Long Beach, CA, 2015. LBNL-1003782. .
"Estimating Sales and Sales Market Share from Sales Rank Data for Consumer Appliances." (2015). LBNL-6989E. .