Machine Learning in the IoT with Apache NiFi

We are trying to improve the efficiency in power networks. The under-utilisation is even worse for renewables! Consumers end up footing the bill for this chronic inefficacy. Because we think we can't control demand, so we have to over-supply in case of spikes… The gateway contains hard-coded information on the assets it controls, sensors that help it tell when the asset has stored energy and constraints (such as peak tariff avoidance), enabling it to dispatch them when grid frequency is too low or too high. The aggregation means that each asset need not be a proportional control to grid frequency, but remains free to perform operational duties 94% of the time – our service is invisible to the end customer (except for the monthly checks).