4 papers
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…
MPA-DNN: Projection-Aware Unsupervised Learning for Multi-period DC-OPF
Yeomoon Kim, Minsoo Kim, Jip Kim
Ensuring both feasibility and efficiency in optimal power flow (OPF) operations has become increasingly important in modern power systems with high penetrations of renewable energy…
Training-Free Restoration of Pruned Neural Networks
Keonho Lee, Minsoo Kim, Dong-Wan Choi
Although network pruning has been highly popularized to compress deep neural networks, its resulting accuracy heavily depends on a fine-tuning process that is often computationally…
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…