Abstract
Water distribution systems represent complex infrastructure and there are many aspects to consider for ensuring the quality of service and reliability in metropolitan areas. There are multiple stages of distribution, while advanced control strategies are required for efficient operation of pumping stations. The proposed solution aims to uncover some of the challenges in the implementation of multiple-model control strategies for pumping stations, in the context of complex water distribution systems. The evaluation of multiple control structures, involving both traditional and advanced learning-based supervisors reveals some general characteristics in the context of an experimental water network.
Published Version
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