1 citations · 1 across the 4 of their papers we have counts for
4 papers
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…
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…
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…
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…