In this insightful video, we dive deep into the world of energy demand forecasting, harnessing the power of cutting-edge deep learning techniques and dimension reduction methods.
Support for this work was provided by the Alfred P. Sloan Foundation Grant G-2020-13922 through the Duke University Energy Data Analytics PhD Student Fellowship.
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.
This presentation is part of the 2023 Energy Data Analytics Symposium: Accelerating Sustainability in the AI Era: [ Ссылка ]
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