Abstract:
In order to predict power consumption, previous measurements, which indicate the actual amount of power consumed in the past, and errors between previous estimates and the previous measurements, are used as first input data, and power consumption estimates for each prediction technique are simultaneously calculated by using the first input data in at least two prediction techniques. Next, the power consumption estimates calculated by each prediction technique and errors between the power consumption estimates and an actual measurement are used as second input data, and the final power consumption is predicted by making an additional power consumption prediction based on the second input data.
Abstract:
In a sensor network system including at least one sensor node and at least one actuator node, a group is formed based on attribute of each node. Sensing data is shared among the nodes in the group, and each node performs autonomous processing to process an event by comparing the sensing data with a preset event threshold value.