Very light on details. What is the baseline of the savings? For example, was there a water pump that was always running at a fixed worst-case setting, and the machine learning system now ramps it up and down? If so, what is the marginal benefit over alternatives like a rudimentary closed-loop electronic control? Would like to know more about the system that was replaced, instead of these bare claims.
It be interesting if it cycled the motors too often and popped solinoids, creating higher long term maintenance and down time, but they cut this study before these long term effects showed?
