Improving Day-Ahead Grid Carbon Intensity Forecasting by Joint Modeling of Local-Temporal and Cross-Variable Dependencies Across Different Frequencies

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Bowen, Tian, Hongda, Berry, Adam, Roussac, A. Craig
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Internet

https://arxiv.org/abs/2601.06530