Using K-means and DTW to retrieve similar historical sequences and add them to an LLM prompt improves M4 forecast accuracy by 2.97% on average over Time-LLM.
Time series forecasting of petroleum production using deep lstm recurrent networks,
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TimeRAG: BOOSTING LLM Time Series Forecasting via Retrieval-Augmented Generation
Using K-means and DTW to retrieve similar historical sequences and add them to an LLM prompt improves M4 forecast accuracy by 2.97% on average over Time-LLM.