About Us +
Researchers in the Building Technology & Urban Systems Division (BTUS) at Lawrence Berkeley National Laboratory develop data and technologies that increase energy efficiency and improve the health, safety and comfort of building occupants, in the United States and worldwide.

We work closely with industry partners, academics and government officials to achieve these goals, and share our research widely
Research +
We are at the forefront of cutting-edge research that redefines building technology and explores all areas of urban systems.

We have been leaders for decades in developing energy-efficient windows, improving indoor air quality, coming up with new ideas to fix the nation's electricity grid, and so much more.

Visit our research areas at the right to find out more.
Colum 1 +
Colum 2 +
Publications +
Enjoy presentations from Building Technology & Urban systems research experts on a wide variety of topics in the areas of building energy efficiency, the electricity grid and how it relates to buildings and much more.
- Presentations
News
Tools & Guides +
Explore our tools, guidebooks and software and download for free.

We offer a variety of technologies designed to simulate and model real-world circumstances to assist in energy-saving programs and help building owners build better buildings. These tools can help calculate performance of building systems like windows and shades, help consumers and builders pick the best windows for a variety of applications and much more.

Samir Touzani

Contact Information

Publications

2022

Detecting the undetected: Dealing with non-routine events using advanced M&V meter-based savings approaches

2021

Controlling distributed energy resources via deep reinforcement learning for load flexibility and energy efficiency

A MACHINE LEARNING APPROACH TO ESTIMATE WINDOWS-TO-WALL RATIO USING DRONE IMAGER

Assessment of Model-Based Peak Electric Consumption Prediction for Commercial Buildings

Open Data and Deep Semantic Segmentation for Automated Extraction of Building Footprints

2020

Spatio-temporal impacts of a utility’s efficiency portfolio on the distribution grid

Detecting the undetected: Dealing with non-routine events using advanced M&V meter-based savings approaches

Machine Learning for Automated Extraction of Building Geometry

Meter-Based Assessment of the Time and Locational Benefits of a Large Utility’s DSM Portfolio

Aerial 3D Building Reconstruction from RGB Drone Imagery

Deep Reinforcement Learning in Buildings: Implicit Assumptions and their Impact

2019

Realizing high-accuracy low-cost measurement and verification for deep cost savings

Evaluation of Methods to Assess the Uncertainty in Estimated Energy Savings

Statistical change detection of building energy consumption: Applications to savings estimation

2018

BuildingIQ Technology Field Validation

Field evaluation of performance of HVAC optimization system in commercial buildings

Corporate Delivery of a Global Smart Buildings Program

Gradient boosting machine for modeling the energy consumption of commercial buildings

2017

Application of Automated Measurement and Verification to Utility Energy Efficiency Program Data

2016

Technology Assessments of High Performance Envelope with Optimized Lighting, Solar Control, and Daylighting

Will the Measurement Robots Take Our Jobs? An Update on the State of Automated M&V for Energy Efficiency Programs

Accuracy of Automated Measurement and Verification (M&V) Techniques for Energy Savings in Commercial Buildings

Electrochromic Window Demonstration at the 911 Federal Building, 911 Northeast 11th Avenue, Portland, Oregon

2015

Assessment of Automated Measurement and Verification (M&V) Methods

M & V Shootout: Setting the Stage For Testing the Performance of New Energy Baseline