WPP-LLM: Multi-source heterogeneous data fusion for wind power prediction and early fault warning based on fine-tuned LLaMA-2
This paper proposes WPP-LLM, a fine-tuning framework built upon the open-source LLaMA-2 model, for wind power prediction (WPP) and predictive maintenance. WPP-LLM realizes unified processing for multiple data modalities by parameter-efficient fine-tuning (PEFT) of a pretrained large language model (LLM), without requir...