Presentation by Dr. Kyle Bradbury, Duke University | #Remotesensing data offers novel opportunities for those seeking to understand, plan, and manage energy systems. This talk focuses on efforts to create a global, automated assessment of energy #infrastructure using #satellite imagery. Such research could help develop pathways to sustainably meet global #energy needs by advancing #renewables integration, maintaining system #reliability, expanding energy access, and more. Specifically, the talk highlights the use of #machinelearning techniques to automatically detect and estimate capacity of #solar #photovoltaic arrays and estimate building energy consumption. The talk also touches on how #syntheticdata can help overcome challenges with applying these techniques to diverse environments.

0:00-2:32 Introduction
2:32-18:31 Presentation
18:31-24:14 Audience Q&A

About the Presenter: Dr. Kyle Bradbury leads applied research projects at the intersection of machine learning techniques and energy problems. His work includes satellite imagery-based energy object identification, smart meter data analysis and disaggregation, and the cost/reliability tradeoffs of wind and solar integration into the grid through energy storage. He has a Ph.D. from Duke University focused on Energy Systems Modeling.

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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