Quanfeng Lv

PaSTS: Parameter-affined Seasonal-Trend Synthesis for Multi-dimensional Long-Term Time Series Forecasting within LLM

Large Language Models (LLMs) have demonstrated remarkable performance across various domains, showcasing significant potential for long-term time series forecasting (LTSF), and consequently attracting substantial research interest. In LTSF, temporal decomposition has been widely adopted in existing…