Liquid Time-Constant Networks for Water Level Forecasting in Urban Drainage: Adaptive Time-Scale Modeling of Hydrological Dynamics
Liquid Time-Constant networks (LNNs), recurrent models with adaptive, input-dependent time constants, were evaluated for water level prediction in an urban drainage system. The architecture was assessed on a ten-year measurement dataset from the Bellinge catchment and benchmarked against gated recurrent unit (GRU), lon...