A High-Resolution Spatially Explicit Monte-Carlo Simulation Approach to Commercial and Residential Electricity and Water Demand Modeling Conference Paper April, 2016
A Bayesian Machine Learning Model for Estimating Building Occupancy from Open Source Data... Journal January, 2016
PlanetSense: A Real-time Streaming and Spatio-temporal Analytics Platform for Gathering Geo-spatial Intelligence from Open Source Data Conference Paper November, 2015
Estimates of Glacier Mass Loss and Contribution to Streamflow in the Wind River Range in Wyoming: Case Study... Journal August, 2015
World Spatiotemporal Analytics and Mapping Project (WSTAMP): Discovering, Exploring, and Mapping Spatiotemporal Patterns across the World’s Largest Open Source Geographic Data Sets Conference Paper July, 2015
Attribute Portfolio Distance: A Dynamic Time Warping based approach to comparing and detecting common spatiotemporal patterns... Conference Paper May, 2015
A Hybrid Dasymetric and Machine Learning Approach to High-Resolution Residential Electricity Consumption Modeling... Conference Paper May, 2015
Can social media play a role in developing building occupancy curves for small area estimation? Conference Paper May, 2015
A Geographic Data Fusion Model for Estimating Quantitative Population Dynamics from Qualitative Survey Data Journal March, 2015