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AI Assisted Consumer Privacy & Electrical Energy Mgmt
October 28, 2021 @ 6:30 pm - 8:30 pm
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 talk presents a 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 the kinks in the energy usage graph to mask the energy usage. The approach conceals the utility usage patterns and thus ensures privacy, lifts operational constraints of the batteries by eliminating excessive charging and discharging; and employs scheduling for a utility bill reduction.
The talk is divided into four sections. Section 1 provides insight into utility user’s privacy issues, section 2 explains the proposed solution, section 3 discusses the results, and section 4 lists some other related works to seek research collaboration interest if any. The talk provides food for thought on integrating AI with Utility. It will be beneficial for the utility company’s policymakers, industry leaders, decision makers, corporate and academic researchers, professors, and students.
Speaker(s): Dr. Raziq Yaqub, Associate Professor,
Virtual: https://events.vtools.ieee.org/m/282283