works on
attention mechanism 1carbon intensity forecasting 1deep learning 1multi-agent systems 1power grid scheduling 1renewable integration 1

From the 1 of 1 linked paper with an AI index.

collaborators
Showing eess.SYShow all

1 paper · 1 filter

eess.SY2026

Emission-Forecasting-Based Spatial-Temporal Carbon Response: A Multi-Agent Attention-Enhanced Deep Learning Framework

Feiyu Cai, Jing Qiu, Yi Yang +4

The paper proposes a deep learning framework with dual-stage attention and a large‑language‑model‑based multi‑agent system to forecast day‑ahead nodal carbon intensity, enabling pr…