2 papers
cs.LG2026
Benchmarking State Space Models, Transformers, and Recurrent Networks for US Grid Forecasting
Sunki Hong, Jisoo Lee
Selecting the right deep learning model for power grid forecasting is challenging, as performance heavily depends on the data available to the operator. This paper presents a compr…
eess.SY2026
Reliable Grid Forecasting: State Space Models for Safety-Critical Energy Systems
Sunki Hong, Jisoo Lee
Accurate grid load forecasting is safety-critical: under-predictions risk supply shortfalls, while symmetric error metrics can mask this operational asymmetry. We introduce an oper…