Data-driven energy use estimation in large-scale transportation networks
Date:
Presentation on data-driven approaches for estimating energy use in large-scale transportation networks at the ACM/EIGSCC Symposium on Smart Cities and Communities.
The presentation covered novel methodologies for analyzing energy consumption patterns in urban transportation systems, leveraging big data analytics and machine learning techniques. Topics included mobility data processing, energy demand modeling, and applications for smart city planning and policy development.