Researchers in Energy and Mineral Engineering are harnessing the availability of large amounts of data on energy and environmental systems to perform some of the world’s most cutting-edge research on energy resources.
Our faculty use techniques from machine learning, artificial intelligence, optimization and statistics to study natural gas production, large-scale infrastructure systems, energy consumption behaviors and energy markets in ways that are relevant to public decision-makers and industry. In research, data analytics allows for powerful hypothesis testing and model validation on highly complex systems. Insights into processes and phenomena can be interrogated over large regions, as opposed to a handful of specific sites. The research skills of our faculty also translate into the classroom, where students get experience using real-world “Big Data” in simulation-oriented classroom environments.