Artificial Intelligence Assisted Consumer Privacy and  Electrical Energy Management

Artificial Intelligence Assisted Consumer Privacy and Electrical Energy Management

Raziq Yaqub

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Sadiq Ahmad

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Alabama Agricultural and Mechanical University

Artificial Intelligence Assisted Consumer Privacy and Electrical Energy Management

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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.

References

19 Cites in Article

Reference Format

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Raziq Yaqub. 2020. \u201cArtificial Intelligence Assisted Consumer Privacy and Electrical Energy Management\u201d. Global Journal of Computer Science and Technology - D: Neural & AI GJCST-D Volume 20 (GJCST Volume 20 Issue D1).

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GJCST Volume 20 Issue D1

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

GJCST-D Classification I.2.1

Submission ReceivedDecember 15, 2019
Peer Review Double Blind
Handling Editor
Accepted January 4, 2020
Published January 15, 2020

Version of record

v1.2

Issue date

June 8, 2020

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