45 citations · 84 across the 8 of their papers we have counts for
8 papers
Weather-Informed Probabilistic Forecasting and Scenario Generation in Power Systems
Hanyu Zhang, Reza Zandehshahvar, Mathieu Tanneau +1
The integration of renewable energy sources (RES) into power grids presents significant challenges due to their intrinsic stochasticity and uncertainty, necessitating the developme…
Asset Bundling for Wind Power Forecasting
Hanyu Zhang, Mathieu Tanneau, Chaofan Huang +3
The growing penetration of intermittent, renewable generation in US power grids, especially wind and solar generation, results in increased operational uncertainty. In that context…
Optimization-based Learning for Dynamic Load Planning in Trucking Service Networks
Ritesh Ojha, Wenbo Chen, Hanyu Zhang +3
The load planning problem is a critical challenge in service network design for parcel carriers: it decides how many trailers to assign for dispatch over time between pairs of term…
Changes in Commuter Behavior from COVID-19 Lockdowns in the Atlanta Metropolitan Area
Tejas Santanam, Anthony Trasatti, Hanyu Zhang +3
This paper analyzes the impact of COVID-19 related lockdowns in the Atlanta, Georgia metropolitan area by examining commuter patterns in three periods: prior to, during, and after…
Risk-Aware Control and Optimization for High-Renewable Power Grids
Neil Barry, Minas Chatzos, Wenbo Chen +10
The transition of the electrical power grid from fossil fuels to renewable sources of energy raises fundamental challenges to the market-clearing algorithms that drive its operatio…
Multi-resolution spatio-temporal prediction with application to wind power generation
Zheng Dong, Hanyu Zhang, Shixiang Zhu +2
Wind energy is becoming an increasingly crucial component of a sustainable grid, but its inherent variability and limited predictability present challenges for grid operators. The…
Public Transit for Special Events: Ridership Prediction and Train Optimization
Tejas Santanam, Anthony Trasatti, Pascal Van Hentenryck +1
Many special events, including sport games and concerts, often cause surges in demand and congestion for transit systems. Therefore, it is important for transit providers to unders…
Resiliency of On-Demand Multimodal Transit Systems During a Pandemic
Ramon Auad, Kevin Dalmeijer, Connor Riley +4
During the COVID-19 pandemic, the collapse of the public transit ridership led to significant budget deficits due to dramatic decreases in fare revenues. Additionally, public trans…