Optimized Control for Water Utilities
The rising demand for water and the need for more electricity to transport it, from remote sources to consumers, are pushing humanity
to find ways to save water as well as energy. Thus, this paper presents a novel technique to optimize the control operations
in water utilities, where the water distribution system is modeled as a Markov Decision Process to produce a control policy to
minimize the energy expenses. We report experiments in a water utility that provided reduction of 39.3% in energy expenses.
Moreover, it was possible to increase soundness of the system operation in order to avoid water outages