Abstract: In solar energy systems, accurate photovoltaic (PV) power forecasting is intricately linked to meteorological factors. Day-ahead prediction based on similar weather scenarios is pivotal for ...

Abstract: This paper addresses the challenges of high computational cost and severe parameter redundancy in the fine-tuning of large language models. It proposes an efficient fine-tuning algorithm ...