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Andrea Menapace, Ariele Zanfei and Maurizio Righetti
The evolution of smart water grids leads to new Big Data challenges boosting the development and application of Machine Learning techniques to support efficient and sustainable drinking water management. These powerful techniques rely on hyperparameters ...
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Andrea Menapace, Ariele Zanfei, Manuel Felicetti, Diego Avesani, Maurizio Righetti and Rudy Gargano
Developing data-driven models for bursts detection is currently a demanding challenge for efficient and sustainable management of water supply systems. The main limit in the progress of these models lies in the large amount of accurate data required. The...
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Ariele Zanfei, Andrea Menapace, Simone Santopietro and Maurizio Righetti
Proper hydraulic simulation models, which are fundamental to analyse a water distribution system, require a calibration procedure. This paper proposes a multi-objective procedure to calibrate water demands and pipe roughness distribution in the context o...
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Maurizio Righetti, Carlos Maximiliano Giorgio Bort, Michele Bottazzi, Andrea Menapace and Ariele Zanfei
Many efforts have been made in recent decades to formulate strategies for improving the efficiency of water distribution systems (WDS), led by the socio-demographic evolution of modern society and the climate change scenario. The improvement of WDS manag...
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