activity
20242026
most citedAssessing the Performance and Impact of PV Technologies on Storage in Hybrid Renewable Systems

3 citations · 4 across the 10 of their papers we have counts for

collaborators

10 papers

eess.SY2026

A Resilience Evaluation Framework for Electric Distribution Systems: Historical Weather Conditioning, Sensitivity Analysis, and a Flooding-Aware Extension

Xuesong Wang, Caisheng Wang, Carol Miller +2

Evaluating resilience in electric distribution systems under severe weather requires models that can connect network topology, hazard simulation, fragility modeling, restoration as…

cs.CV2026

Synthetic Defect Image Generation for Power Line Insulator Inspection Using Multimodal Large Language Models

Xuesong Wang, Caisheng Wang

Utility companies increasingly rely on drone imagery for post-event and routine inspection, but training accurate defect-type classifiers remains difficult because defect examples…

eess.SY2026

Risk-Averse Power System Resilience Planning Under AI Data Center Demand Growth Using a Two-Stage DRO-CVaR MILP Optimization

Sharaf K. Magableh, Caisheng Wang, Oraib Dawaghreh +1

The rapid growth of artificial intelligence-data centers is introducing significant demand variability and operational uncertainty into modern power systems, creating new challenge…

eess.SY2025★ 3 cited

Assessing the Performance and Impact of PV Technologies on Storage in Hybrid Renewable Systems

Sharaf K. Magableh, Oraib Dawaghreh, Xuesong Wang +1

Traditional monofacial photovoltaic (mPV) systems are commonly adopted and well-documented because of their lower upfront costs in comparison to bifacial photovoltaic (bPV) systems…

eess.SY2025

Unlocking the Potential: A Novel Tool for Assessing Untapped Micro-Pumped Hydro Energy Storage Systems in Michigan

Sharaf K. Magableh, Xuesong Wang, Oraib Dawaghreh +1

This study presents an innovative tool designed to unlock the potential of Michigan's lakes and dams for applications such as water resource management and renewable energy generat…

eess.SY2025

A Deep Learning-Based Method for Power System Resilience Evaluation

Xuesong Wang, Caisheng Wang

Power system resilience is vital to modern society, as outages caused by extreme weather can severely disrupt communities. Existing statistical and simulation-based methods for res…

eess.SY2025

Integrating Cascade Pumped Micro-Hydro Storage: A Sustainable Approach to Energy and Water Management

Oraib Dawaghreh, Sharaf K. Magableh, Xuesong Wang +2

As traditional large hydropower has been extensively exploited, micro-hydro systems have caught research increasing interest. New engineering challenges arise in developing micro-h…

cs.LG2024

Deep Learning-Based Electricity Price Forecast for Virtual Bidding in Wholesale Electricity Market

Xuesong Wang, Sharaf K. Magableh, Oraib Dawaghreh +4

Virtual bidding plays an important role in two-settlement electric power markets, as it can reduce discrepancies between day-ahead and real-time markets. Renewable energy penetrati…

eess.SY2024

Graph-based Simulation Framework for Power Resilience Estimation and Enhancement

Xuesong Wang, Shuo Yuan, Sharaf K. Magableh +3

The increasing frequency of extreme weather events poses significant risks to power distribution systems, leading to widespread outages and severe economic and social consequences.…

cs.LG2024★ 1 cited

Deep Learning-Based Weather-Related Power Outage Prediction with Socio-Economic and Power Infrastructure Data

Xuesong Wang, Nina Fatehi, Caisheng Wang +1

This paper presents a deep learning-based approach for hourly power outage probability prediction within census tracts encompassing a utility company's service territory. Two disti…