SABLE: GPU-Based Power Flow Accelerator for Sparsity-Aware Batched Learning ↗
S. Park, K. Song, and H. Kim · arXiv:2606.07099, preprint
Publications
Research output.
Journal papers, conference papers, and recent preprints. For the latest citation record, see Google Scholar.
Google Scholar ↗Journal Papers & Preprints
LUMINA: A Grid Foundation Model for Benchmarking AC Optimal Power Flow Surrogate Learning ↗
H. Jin, K. Song, Z. Memon, Y. Li, S. Fenu, H. Kim, L. Zhao, and K. Kim · arXiv:2605.02133, preprint
Foreseeable Implicit Training for ESS Operation based on Deep Reinforcement Learning
M. Son, K. Song, M. Kim, Y. Lim, J. Kim, H. Jeon, and H. Kim · IEEE Access
Power System Decision Making in the Age of Deep Learning: A Comprehensive Review
Y. Lim, M. Son, K. Park, M. Kim, K. Song, H. Lee, and H. Kim · Energies
Locational Scenario-based Pricing in a Bilateral Distribution Energy Market under Uncertainty
H. T. Doan, M. Kim, K. Song, and H. Kim · Applied Energy
Graph-based Large Scale Probabilistic PV Power Forecasting Insensitive to Space-Time Missing Data
K. Song, M. Kim, and H. Kim · IEEE Transactions on Sustainable Energy
Convolutional Autoencoder-Based Anomaly Detection for Photovoltaic Power Forecasting of Virtual Power Plants
T. Park, K. Song, J. Jeong, and H. Kim · Energies, Vol. 16, No. 14
DTTrans: PV Power Forecasting Using Delaunay Triangulation and TransGRU ↗
K. Song, J. Jeong, J. H. Moon, S. C. Kwon, and H. Kim · Sensors, Vol. 23, No. 1
Conference & Workshop Papers
Physics-Informed Graph Learning Acceleration for Large-Scale AC-OPF with Topology Changes ↗
K. Song, K. Park, S. Choi, S. Kim, T. Kim, Y. Choi, S. Min, and H. Kim · ICML Workshop on AI4Science
LUMINA: Foundation Models for Topology Transferable ACOPF ↗
Y. Li, Z. Memon, H. Jin, S. Fenu, K. Song, et al. · ICLR Workshop on FM4Science
Alternative Learning Architecture for Solving AC-OPF via Supervised Relaxation and Cross Encoder
H. T. Doan, K. Song, K. Kim, and H. Kim · NeurIPS Workshop on GPU-Accelerated and Scalable Optimization
AnyCast: Efficient Graph Learning for Large-Scale PV Power Forecasting with Extreme Missing Data
K. Song, M. Kim, and H. Kim · IEEE SmartGridComm