Energy Data Analytics Symposium
Duke University Energy Initiative (ARCHIVED) |
15 videos |
Updated 3 years ago
How can machine learning and data science tools improve our understanding of energy systems and manage them to be more accessible, affordable, reliable, and clean? This single-track symposium will explore cutting-edge approaches addressing this question, highlighting the work of established experts as well as emerging scholars in the field.
This presentation was part of the 2020 Energy Data Analytics Symposium at Duke University. Learn more about the symposium and view the two days of presentations: bit.ly/edas2020
The 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: energy.duke.edu/research/energy-data
Get email updates on energy news and events at Duke: bit.ly/energyduke
