2 citations · 2 across the 1 of their papers we have counts for
3 papers
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…
TimeGPT in Load Forecasting: A Large Time Series Model Perspective
Wenlong Liao, Fernando Porte-Agel, Jiannong Fang +4
Machine learning models have made significant progress in load forecasting, but their forecast accuracy is limited in cases where historical load data is scarce. Inspired by the ou…
Ancillary Services Provision by Cross-Voltage-Level Power Flow Control using Flexibility Regions
Christian Holger Nerowski, Zongjun Li, Christian Rehtanz
The large-scale integration of distributed renewable energy sources into the electricity grid requires the investigation of new methods to ensure stability. For example, Active Dis…