5 papers
Outage Identification from Electricity Market Data: Quickest Change Detection Approach
Milad Hoseinpour, Shubhanshu Shekhar, Vladimir Dvorkin
Power system outages expose market participants to significant financial risk unless promptly detected and hedged. We develop an outage identification method from public market sig…
Probabilistic Dynamic Line Rating with Line Graph Convolutional LSTM
Minsoo Kim, Vladimir Dvorkin, Jip Kim
Dynamic line rating (DLR) is an effective approach to enhancing the utilization of existing transmission line infrastructure by adapting line ratings according to real-time weather…
Constrained Diffusion Models for Synthesizing Representative Power Flow Datasets
Milad Hoseinpour, Vladimir Dvorkin
High-quality power flow datasets are essential for training machine learning models in power systems. However, security and privacy concerns restrict access to real-world data, mak…
Synthesizing Grid Data with Cyber Resilience and Privacy Guarantees
Shengyang Wu, Vladimir Dvorkin
Differential privacy (DP) provides a principled approach to synthesizing data (e.g., loads) from real-world power systems while limiting the exposure of sensitive information. Howe…
Probabilistic Dynamic Line Rating Forecasting with Line Graph Convolutional LSTM
Minsoo Kim, Vladimir Dvorkin, Jip Kim
Dynamic line rating (DLR) is a promising solution to increase the utilization of transmission lines by adjusting ratings based on real-time weather conditions. Accurate DLR forecas…