161 citations · 351 across the 10 of their papers we have counts for
11 papers
Energy-Stable Parametric Operator Inference across Regime Transitions: Application to Unconfined Buoyant Plumes in Stratified Ambients
Youngjun Kwon, Abdollah Shafieezadeh
Buoyant plumes in stratified ambients arise in wildfire smoke transport, ventilation, and pollutant dispersion, where many-query prediction requires models that stay accurate and s…
A causal graph-informed temporal convolution architecture for interpretable retail electricity price forecasting
Yufan Ji, Abdollah Shafieezadeh, Noah Dormady
Retail electricity markets in deregulated systems face significant price volatility and complex interactions with forward and futures products, posing challenges for effective oper…
Unscented KalmanNet: Structure-Preserving Deep Learning with Calibrated Posterior Uncertainty under Incomplete Physics and Unknown Noise
Minhyeok Ko, Abdollah Shafieezadeh
Nonlinear state estimation requires sequentially fusing model-based predictions with noisy measurements. Under imperfect dynamics and unknown, time-varying noise statistics, this f…
How important are socioeconomic factors for hurricane performance of power systems? An analysis of disparities through machine learning
Alexys Herleym Rodríguez Avellaneda, Abdollah Shafieezadeh, Alper Yilmaz
This paper investigates whether socioeconomic factors are important for the hurricane performance of the electric power system in Florida. The investigation is performed using the…
Multi-stage Resilience Management of Smart Power Distribution Systems: A Stochastic Robust Optimization Model
Nariman L. Dehghani, Abdollah Shafieezadeh
Significant outages from weather and climate extremes have highlighted the critical need for resilience-centered risk management of the grid. This paper proposes a multi-stage stoc…
Optimal monitoring location for risk tracking of geotechnical systems: theory and application to tunneling excavation risks
Zeyu Wang, Abdollah Shafieezadeh, Xiong Xiao +2
The maturity of structural health monitoring technology brings ever-increasing opportunities for geotechnical structures and underground infrastructure systems to track the risk of…
Adaptive Reliability Analysis for Multi-fidelity Models using a Collective Learning Strategy
Chi Zhang, Chaolin Song, Abdollah Shafieezadeh
In many fields of science and engineering, models with different fidelities are available. Physical experiments or detailed simulations that accurately capture the behavior of the…
Adaptive network reliability analysis: Methodology and applications to power grid
Nariman L. Dehghani, Soroush Zamanian, Abdollah Shafieezadeh
Flow network models can capture the underlying physics and operational constraints of many networked systems including the power grid and transportation and water networks. However…
Lyapunov-based uncertainty-aware safe reinforcement learning
Ashkan B. Jeddi, Nariman L. Dehghani, Abdollah Shafieezadeh
Reinforcement learning (RL) has shown a promising performance in learning optimal policies for a variety of sequential decision-making tasks. However, in many real-world RL problem…
Value of Information Analysis via Active Learning and Knowledge Sharing in Error-Controlled Adaptive Kriging
Chi Zhang, Zeyu Wang, Abdollah Shafieezadeh
Large uncertainties in many phenomena have challenged decision making. Collecting additional information to better characterize reducible uncertainties is among decision alternativ…
REAK: Reliability analysis through Error rate-based Adaptive Kriging
Zeyu Wang, Abdollah Shafieezadeh
As models in various fields are becoming more complex, associated computational demands have been increasing significantly. Reliability analysis for these systems when failure prob…