Interval Estimation in Water Distribution Systems Using Physics-Informed Graph Neural Networks
Abstract Artificial Intelligence in general and Machine Learning (ML) in particular has the potential to play a key role in critical infrastructure such as Water Distribution Systems (WDSs). In the face of urban population growth, ML can pave the way towards smart cities by not only solving various tasks in WDSs but al...