13 citations · 16 across the 5 of their papers we have counts for
6 papers
Emission-Forecasting-Based Spatial-Temporal Carbon Response: A Multi-Agent Attention-Enhanced Deep Learning Framework
Feiyu Cai, Jing Qiu, Yi Yang +4
As a major contributor to carbon emissions, the decarbonization of power systems has garnered significant societal attention. Nodal carbon intensity (NCI), a critical factor in car…
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…
Towards Carbon Transparency: A High-Resolution Carbon Emissions Database for China's Listed Companies
Xinlei Wang, Junhua Zhao, Haifeng Wu +7
The dual-carbon goals of China necessitate precise accounting of company carbon emissions, vital for green development across all industries. Not only the company itself but also f…
The 2023 Development of Room-Temperature Ambient-Pressure Superconductor: Vision and Future Trend of Power Systems
Yi Yang, Chenxi Zhang, Xinlei Wang +3
Room-Temperature Ambient-Pressure Superconductor (RTAPS) can achieve superconducting properties at room temperature and normal atmospheric pressure, eliminating the power system's…