A Study on Realistic Energy Storage Systems for the Privacy of Smart Meter Readings of Residential Users

Pham, Cong-Toan; Månsson, Daniel

doi:10.1109/access.2019.2946027

Cited by 9 publications

(10 citation statements)

References 17 publications

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“…In the context of this study, we will take specific interest in the capacity test, the HPPC test and the CLT for performance and life tests. [14] of the electric power supply from the utility, which is equal to the smart meter (SM)-drawn power P SM . The energy management unit (EMU) monitors and controls the power in-/output between the load and energy storage system (ESS)…”

Section: Test Procedures For Ageing Testingmentioning

confidence: 99%

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Effects of smart meter privacy protection management on the lifetime performance of 18,650 lithium‐ion batteries

Pham

Månsson

2021

IET Smart Grid

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Concerns over privacy leaks through real-time monitoring in smart meters (SMs) raise questions about how to effectively protect the user power consumption data. As one potential solution, energy storage systems have been suggested to physically manipulate SM readings to hide the true load pattern. Lithium-ion batteries (LiBs) are commonly utilised in the residential area in various applications such as solar and home batteries. Its use in a privacy-focussed operation has shown potential with reasonable system sizes in the range of commercially available products. However, batteries are subjected to ageing and the deterioration of performance over the course of time, which can limit the feasibility in such application. Hence, this work aims to investigate the ageing influence on LIBs' performance to deduce the life expectancy and how well privacy is protected over time. The study includes ageing tests with a specifically designed cycle life test procedure for the privacy protection scheme to extract relevant model parameters for the equivalent circuit battery model.

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Section: Test Procedures For Ageing Testingmentioning

confidence: 99%

“…Other investigations such as Refs. [11,14] have focussed on the perspective of the ESS itself, answering questions about the minimal required capacity to achieve certain privacy levels or what storage technology best fits this purpose. The study in Ref.…”

Section: Energy Storage For Privacymentioning

confidence: 99%

Effects of smart meter privacy protection management on the lifetime performance of 18,650 lithium‐ion batteries

Pham

Månsson

2021

IET Smart Grid

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“…Yet, the polarised view of smart meters is a product of the concern regarding privacy intrusions. There is evidence to suggest that the data collected have the potential to be exploited for negative social purposes [26][27][28]. As Pham et al outline, wealth, religion, health and behaviour are all extractable from an aggregated smart meter data stream [28].…”

Section: Data Privacymentioning

confidence: 99%

“…There is evidence to suggest that the data collected have the potential to be exploited for negative social purposes [26][27][28]. As Pham et al outline, wealth, religion, health and behaviour are all extractable from an aggregated smart meter data stream [28]. However, as a digital product, the smart metering infrastructure is also susceptible to attempted cyber-attacks [29].…”

Section: Data Privacymentioning

confidence: 99%

Perceptions on Smart Gas Meters in Smart Cities for Reducing the Carbon Footprint

2020

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Carbon emission is a prominent issue, and smart urban solutions have the technological capabilities to implement change. The technologies for creating smart energy systems already exist, some of which are currently under wide deployment globally. By investing in energy efficiency solutions (such as the smart meter), research shows that the end-user is able to not only save money, but also reduce their household’s carbon footprint. Therefore, in this paper, the focus is on the end-user, and adopting a quantitative analysis of the perception of 1365 homes concerning the smart gas meter installation. The focus is on linking end-user attributes (age, education, social class and employment status) with their opinion on reducing energy, saving money, changing home behaviour and lowering carbon emissions. The results show that there is a statistical significance between certain attributes of end-users and their consideration of smart meters for making beneficial changes. In particular, the investigation demonstrates that the employment status, age and social class of the homeowner have statistical significance on the end-users’ variance; particularly when interested in reducing their bill and changing their behaviour around the home.

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“…In view of that , to prevent the extraction of information filtering approaches, mainly based on large energy storages, have been proposed. In specific, the approach presented in [28] proposes a thermal energy storage, while the work in [29] compares different chemical storages on their capability to filter the energy consumption signal.…”

Section: Introductionmentioning

confidence: 99%

On the non-intrusive extraction of residents’ privacy- and security-sensitive information from energy smart meters

Schirmer

Mporas

2021

Neural Comput & Applic

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Energy smart meters have become very popular in monitoring and smart energy management applications.However, the acquired measurements except the energy consumption information may also carry information about the residents' daily routine, preferences and profile. In this article we investigate the potential of extracting information from smart meters related to residents' security and privacy sensitive information. Specifically, using methodologies for load demand prediction, non-intrusive load monitoring and elastic matching, evaluation of extraction of information related to house occupancy, multimedia watching detection, socioeconomic and health profiling of residents was performed. The evaluation results showed that the aggregated energy consumption signals contain information related to residents' privacy and security, which can be extracted from the smart meter measurements.

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A Study on Realistic Energy Storage Systems for the Privacy of Smart Meter Readings of Residential Users

Cited by 9 publications

References 17 publications

Effects of smart meter privacy protection management on the lifetime performance of 18,650 lithium‐ion batteries

Effects of smart meter privacy protection management on the lifetime performance of 18,650 lithium‐ion batteries

Perceptions on Smart Gas Meters in Smart Cities for Reducing the Carbon Footprint

On the non-intrusive extraction of residents’ privacy- and security-sensitive information from energy smart meters

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