Abstract

Smart metering infrastructure brings unique benefits for Utility Companies as well as consumers, however, massive consumer data collected and transmitted by the smart meters have raised consumers’ privacy concerns. This paper presents a novel solution that is based on Artificial Intelligence Agent that continuously computes the gap between “Average Daily Demand” and “Instantaneous Demand” of a consumer, and allows the Battery Banks to discharge just enough to fill the gaps and eliminate kinks in the energy usage graph to mask the energy usage. This novel approach offers several benefits, such as, it conceals the utility usage patterns and thus ensures privacy, eliminates excessive discharging and charging of batteries that lifts operational constraints of the batteries, employs scheduling that renders utility bill reduction as an add-on.

How to Cite
YAQUB, SADIQ AHMAD, Raziq. Artificial Intelligence Assisted Consumer Privacy and Electrical Energy Management. Global Journal of Computer Science and Technology, [S.l.], aug. 2020. ISSN 0975-4172. Available at: <https://computerresearch.org/index.php/computer/article/view/1941>. Date accessed: 27 nov. 2020.