G. R. T. de Lima

Comparing MLP and LSTM neural networks for short-term water level forecasting: insights from the 2024 major flood in Southern Brazil

ABSTRACT This study develops and compares two data-driven models for short-term water level forecasting based on a MLP and a LSTM network. Both models were trained for a six-hour forecasting horizon using hourly water level and rainfall data from seven stations in the Guaíba Lake watershed, southern Brazil, from Novemb...