Real-Time Pricing by Data Fusion on Networks

This paper presents a framework of real-time pricing by data fusion of power consumption, i.e., estimating the total power consumption of consumers by sharing the information on local power consumption that each power source has. The problem addressed here is to find power estimators embedded in power sources (or embedded in access points provided in advance) and a power price controller such that the total power consumption tracks a given reference input. As a solution to this problem, we present power estimators with a consensus protocol and a proportional-integral type power price controller. We then show that our solution achieves the reference tracking of the total power consumption in a distributed manner.