5 papers
Match the Canvas, Not Just the Answer: Predictability-Aware SFT for Diffusion Language Models
Miao Li, Hanyang Jiang, Hengyu Fu +8
Diffusion language models (DLMs) enable flexible parallel generation by resolving tokens according to the model's evolving predictability rather than a fixed left-to-right order. T…
Physics-Informed Dynamic State Estimation for Current Transformers Using Graph Neural Networks
Michael A. Boateng, Gabriel Gauderman, Nathalie Uwamahoro
Current transformers are fundamental to power system protection and measurement, yet transient core saturation can severely distort the secondary current and degrade measurement ac…
PACR: Parameter-Optimized AC Power Flow Restoration for AC Feasible DCOPF Dispatch
Michael A. Boateng, Russell Bent, Sidhant Misra +3
The DC optimal power flow is widely used in power system operations because of its computational efficiency and scalability. However, DC dispatches are not guaranteed to satisfy th…
Volt/VAR Optimization in Transmission Networks with Discrete-Control Devices
Shuaicheng Tong, Michael A. Boateng, Mathieu Tanneau +1
Voltage (Volt) and reactive-power (VAR) control in transmission networks is critical for reliability and increasingly needs fast, implementable decisions. This paper presents a tra…
Towards AC Feasibility of DCOPF Dispatch
Michael A. Boateng, Russell Bent, Sidhant Misra +3
DC Optimal Power Flow (DCOPF) is widely utilized in power system operations due to its simplicity and computational efficiency. However, its lossless, reactive power-agnostic model…