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The objective of this research is to ideal operation of water distribution networks can be posed as a scheduling problem where the objective is to meet the time-varying demand while meeting constraints on supply, pressure, etc. The first use of deep learning for the simulation, optimization, and operation control of water distribution networks is described in this paper. It details the development of a systematic deep-learning framework with the potential application of facilitating data fusion, System simulation, etc.