Keunju Song

According to our database, Keunju Song authored at least 5 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

LUMINA: A Grid Foundation Model for Benchmarking AC Optimal Power Flow Surrogate Learning.

Hongwei Jin, Keunju Song, Zeeshan Memon, Yijiang Li, Stefano Fenu, Hongseok Kim, Liang Zhao, Kibaek Kim

CoRR, May, 2026

LUMINA: Foundation Models for Topology Transferable ACOPF.

Yijiang Li, Zeeshan Memon, Hongwei Jin, Stefano Fenu, Keunju Song, Sunash B. Sharma, Parfait Gasana, Hongseok Kim, Liang Zhao, Kibaek Kim

CoRR, March, 2026

Foreseeable Implicit Training for ESS Operation Based on Deep Reinforcement Learning.

Minjae Son, Keunju Song, Minsoo Kim, Yeji Lim, Jaehong Kim, Hyejeong Jeon, Hongseok Kim

IEEE Access, 2026

2024

AnyCast: Efficient Graph Learning for Large-Scale PV Power Forecasting with Extreme Missing Data.

Keunju Song, Minsoo Kim, Hongseok Kim

Proceedings of the IEEE International Conference on Communications, 2024

2023

DTTrans: PV Power Forecasting Using Delaunay Triangulation and TransGRU.

Keunju Song, Jaeik Jeong, Jong-Hee Moon, Seong-Chul Kwon, Hongseok Kim

Sensors, 2023