OKG-LLM constructs an Ocean Knowledge Graph, learns its embeddings, fuses them with SST observations, and applies an LLM to outperform prior methods on global sea surface temperature prediction.
Informer: Beyond efficient transformer for long sequence time-series forecasting,
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AutoPV applies neural architecture search with a custom search space drawn from time series forecasting and photovoltaic models to automatically produce architectures that outperform predefined state-of-the-art models on a Chinese solar station dataset.
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OKG-LLM: Aligning Ocean Knowledge Graph with Observation Data via LLMs for Global Sea Surface Temperature Prediction
OKG-LLM constructs an Ocean Knowledge Graph, learns its embeddings, fuses them with SST observations, and applies an LLM to outperform prior methods on global sea surface temperature prediction.
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AutoPV: Automatically Design Your Photovoltaic Power Forecasting Model
AutoPV applies neural architecture search with a custom search space drawn from time series forecasting and photovoltaic models to automatically produce architectures that outperform predefined state-of-the-art models on a Chinese solar station dataset.