Big data offers big opportunities to solve our world’s most daunting and complex energy challenges. In this workshop, Dr. Kyle Bradbury, Managing Director at the Energy Data Analytics Lab at the Duke University Energy Initiative, provides an overview of how emerging sources of energy data are enabling new ways of generating, transmitting, and consuming energy more efficiently through the use of machine learning techniques. From renewable electricity systems to oil and gas, this session discusses innovations in data science that are transforming the way we interact with and understand energy systems.

Link to slides from this presentation: [ Ссылка ]

Founded in 2014, the Energy Data Analytics Lab ([ Ссылка ]) is a research collaboration between the Duke University Energy Initiative (where it is housed), the Information Initiative at Duke (iiD), and the Social Science Research Institute (SSRI). This workshop is generously supported by the Alfred P. Sloan Foundation as part of the new Energy Data Analytics Ph.D. Student Fellows program for enrolled Ph.D. students at Duke University ([ Ссылка ]).

This video is from a workshop on energy data analytics held in October, 2018. The videos from this workshop are listed below:
Video 1: Energy Data Analytics: [ Ссылка ]
Video 2: Energy Resources - Part I of II on Energy Data Analytics Resources: [ Ссылка ]
Video 3: Data Science Resources - Part II of II on Energy Data Analytics Resources: [ Ссылка ]

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