Neural Forecasting
Neural forecasting uses artificial neural networks to predict future values in time series data, aiming to improve accuracy and provide uncertainty quantification for better decision-making. Current research emphasizes enhancing model interpretability, addressing data limitations through transfer learning and denoising techniques, and improving scalability for large datasets and complex spatiotemporal dependencies. These advancements are impacting diverse fields, from finance and energy management to epidemiology, by providing more accurate and reliable predictions in situations with limited data or complex dynamics.
Papers
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