3 papers
stat.AP2025
Aligning load flexibility with emissions reduction: empirical insights from a multi-site study of cryptocurrency data centers
Veronica M. Paez, Neda Mohammadi, John E. Taylor
The power sector is responsible for 32 percent of global greenhouse gas emissions. Data centers and cryptocurrencies use significant amounts of electricity and contribute to these…
cs.CV2025
Multi-Label Classification Framework for Hurricane Damage Assessment
Zhangding Liu, Neda Mohammadi, John E. Taylor
Hurricanes cause widespread destruction, resulting in diverse damage types and severities that require timely and accurate assessment for effective disaster response. While traditi…
cs.AI2024
Short-term Streamflow and Flood Forecasting based on Graph Convolutional Recurrent Neural Network and Residual Error Learning
Xiyu Pan, Neda Mohammadi, John E. Taylor
Accurate short-term streamflow and flood forecasting are critical for mitigating river flood impacts, especially given the increasing climate variability. Machine learning-based st…