Presentation by Dr. Zoltan Nagy, University of Texas at Austin | The built environment is responsible for 34% of #greenhousegas #emissions. Keeping in mind that buildings and their #energysystems have a lifespan, the ability to achieve carbon #netzero goals by 2050 (or sooner) will depend on #construction and #retrofitting projects in the works right now. And this necessitates foresight by #urbanplanning experts, policymakers, #utilities, and others in designing incentives, policies, codes, and infrastructural investments. This talk describes CityDNN, a deep #neuralnetwork for urban #energysimulation models, and discusses strategies to improve these models.

0:00 - 16:42 - Presentation
16:42 - end - Audience Q&A

About the Presenter: Dr. Zoltan Nagy is a roboticist turned building engineer, his research interests are in smart buildings and cities, renewable energy systems, control systems for zero emission building operation, machine learning and artificial intelligence for the built environment, complex fenestration systems and the influence of building occupants on energy performance. Dr. Nagy received a Ph.D. in Robotics from ETH Zurich, Switzerland.

This presentation was a part of the Energy Data Analytics Symposium hosted by Duke University on December 8-9, 2020. The Symposium’s theme was “Transforming Energy Systems with Data Science Techniques.”

Learn more about the 2020 Energy Data Analytics Symposium and view all presentations:
https://energy.duke.edu/energy-data-a...
All presentations are also available on a YouTube playlist:
   • Energy Data Analytics Symposium  

The 2020 Energy Data Analytics Symposium was organized by the Energy Data Analytics Lab at Duke University and was supported by a grant from the Alfred P. Sloan Foundation. Note: Conclusions reached or positions taken by researchers or other grantees represent the views of the grantees themselves and not those of the Alfred P. Sloan Foundation or its trustees, officers, or staff.

Learn about the Energy Data Analytics Lab at Duke University: https://energy.duke.edu/research/ener...

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