Operational, Economic and Environmental Advantages of Applying Artificial Intelligence in Dam Operations: an approach based on artificial neural networks and Monte Carlo simulation method for floodgate operation

Abstract This work is aimed at demonstrating the advantages that AI can bring to dam management and which parameters and calculations are important to make the simulations more realistic. To this end, a computational approach that combines a Multilayer Perceptron Artificial Neural Network (MLP-ANN) and Monte Carlo Simulation (MCS) method was developed and tested in simulations of floodgate operation using data collected from one of the biggest sanitation companies in the world. The conducted systematic review and simulations allowed to demonstrate the contributions of this study to the scientific literature and organizational practice, mainly because it shows that the application of the proposed approach can eliminates the need for manual operations in dams, including those aimed at preventing disasters and water wastage.