6 citations · 23 across the 15 of their papers we have counts for
3 papers · 1 filter
Zero and Few Shot Load Forecasting with Large Language Models
Wenlong Liao, Chengrui Zhang, Zhe Yang +4
Deep learning models have shown strong performance in load forecasting, but they generally require large amounts of data for model training before being applied to new scenarios, w…
Data-driven Power Flow Linearization: Theory
Mengshuo Jia, Gabriela Hug, Ning Zhang +3
This two-part tutorial dives into the field of data-driven power flow linearization (DPFL), a domain gaining increased attention. DPFL stands out for its higher approximation accur…
Privacy-Preserving Distributed Parameter Estimation for Probability Distribution of Wind Power Forecast Error
Mengshuo Jia, Shaowei Huang, Zhiwen Wang +1
Building the conditional probability distribution of wind power forecast errors benefits both wind farms (WFs) and independent system operators (ISOs). Establishing the joint proba…