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    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

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  • 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 +
    • Windows & Daylighting
    • FLEXLAB® & Systems Integration
    • Electronics, Lighting & Networks
    • Modeling & Simulation
    • Indoor Air Quality
    • High Tech & Industrial
    Colum 2 +
    • Decision Science
    • Energy Analytics
    • The Grid & Demand Response
    • Cool Roofs & Walls
    • Urban Systems
  • 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.

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  • 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.

    • Whole Building
    • Occupant Behavior
    • Lighting
    • Windows and Envelope Materials
    • Cool Surfaces
    • City and Districts

Publications

Publications By Research Area

  • Cool Roofs & Walls
  • Decision Science
  • Electronics, Lighting & Networks
  • Energy & Financing
  • Energy Analytics
  • FLEXLAB® and Systems Integration
  • High Tech & Industrial
  • Indoor Air Quality
  • Modeling & Simulation
  • The Grid & Demand Response
  • Windows & Daylighting
X Author: Avideh Zakhor

2022

Singh, Reshma, Samuel Fernandes, Anand Prakash, Paul A Mathew, Jessica Granderson, Colman Snaith, Rahul Pusapati, Prakash Jadhav, Avideh Zakhor, Rishi Upadhyay, Ozgur Gonen, and Harry Bergmann."Scaling Building Energy Audits through Machine Learning Methods on Novel Drone Image Data."2022 Summer Study on Energy Efficiency in Buildings (2022). DOI

2021

Touzani, Samir, Marc Wudunn, Samuel Fernandes, Avideh Zakhor, Rohullah Najibi, and Jessica Granderson."A MACHINE LEARNING APPROACH TO ESTIMATE WINDOWS-TO-WALL RATIO USING DRONE IMAGER." (2021).

2020

Touzani, Samir, Marc Wudunn, Avideh Zakhor, Marco Pritoni, Reshma Singh, Harry Bergmann, and Jessica Granderson."Machine Learning for Automated Extraction of Building Geometry."The American Council for an Energy-Efficient Economy (2020).
WuDunn, Mark, Avideh Zakhor, Samir Touzani, and Jessica Granderson."​Aerial 3D Building Reconstruction from RGB Drone Imagery."SPIE Geospatial Informatics X (2020).

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