This research thrust area involves geographic data driven modeling, simulation, and visualization for analyzing energy resources and infrastructures in facilitating national efforts to modernize the electric grid; enhance security and reliability of the energy infrastructure; and facilitate recovery from disruptions to energy supply. We develop novel capabilities that utilize geospatial data and modeling to address a range of key energy issues spanning from remote sensing data driven resource analysis for renewable energy to transportation modeling and simulation to improve energy efficiency, increase the use of advanced petroleum and non-petroleum fuels, and reduce emissions.
- Bioenergy Knowledge Discovery Framework
- Visualizing Energy Resources Dynamically on Earth (VERDE)
- A Knowledge Discovery Framework for Americas Transportation System
- Online Detection of Anomaly, Change, and Change Point from Space-Time Data
- Mapping the Distribution of Carbon Exchange by Humans in the US
- Scale Dependent Metrics for Bioenergy
- A Spatiotemporal Data Mining (STDM) Framework for Monitoring Biomass at Regional and Global Scales