Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the ...

🚩 2023/11/1: I have marked some recommended papers with 🌟 (Just my personal preference 😉). 🚩 2023/11/1: I have added a new category : models specifically designed for irregular time series. 🚩 ...

This study proposes a comprehensive data-driven framework for solar energy forecasting using multiple machine learning ... time grid operations. These findings provide practical insights for ...

contributing to the safe and stable operation of modern power systems. From a technical exploration standpoint, this paper proposes a time series forecasting framework based on LLMs. The proposed ...

The AI tool used machine learning to outperform current weather simulations, offering faster, cheaper, more accurate forecasts.