Liquid Neural Networks are applied to forecast Henry Hub natural gas spot prices, using their dynamic state updates to address nonstationary market behavior.
The underlying ODE, log-space time constant parameterization, nonlinear response, and fused semi-implicit Euler update structure are identical to those of LTC
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Liquid Neural Network Models for Natural Gas Spot Price Time-Series Forecasting
Liquid Neural Networks are applied to forecast Henry Hub natural gas spot prices, using their dynamic state updates to address nonstationary market behavior.