From the 1 of 4 linked papers with an AI index.
4 papers
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…
Battery-Assisted Operation of Hyperscale AI Data Centers under Connect-and-Manage Interconnection Practices
Xin Lu, Jing Qiu, Jiafeng Lin +3
Emerging connect-and-manage practices allow new transmission-connected mega-loads to connect while enforcing time-varying admissible power exchange limits at the point of common co…
Toward Reasoning-Centric Time-Series Analysis
Xinlei Wang, Mingtian Tan, Jing Qiu +2
Traditional time series analysis has long relied on pattern recognition, trained on static and well-established benchmarks. However, in real-world settings -- where policies shift,…
From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection
Xinlei Wang, Maike Feng, Jing Qiu +2
This paper introduces a novel approach that leverages Large Language Models (LLMs) and Generative Agents to enhance time series forecasting by reasoning across both text and time s…