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Open AccessJournal ArticleDOI

Smart meter data: Balancing consumer privacy concerns with legitimate applications

TLDR
In this article, the authors examined the data requirements for some of the proposed applications of smart meter data within the electricity supply industry, and investigated whether the use of personal data can be minimized or even avoided.
About
This article is published in Energy Policy.The article was published on 2012-02-01 and is currently open access. It has received 328 citations till now. The article focuses on the topics: Smart meter & Demand response.

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Citations
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Using peer-to-peer energy-trading platforms to incentivize prosumers to form federated power plants

TL;DR: This Perspective proposes the federated power plant, a virtual power plant formed through P2P transactions between self-organizing prosumers, which addresses social, institutional and economic issues faced by top-down strategies for coordinating virtual power plants, while unlocking additional value for P1P energy trading.
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A Comprehensive Study of Security of Internet-of-Things

TL;DR: This survey attempts to provide a comprehensive list of vulnerabilities and countermeasures against them on the edge-side layer of IoT, which consists of three levels: (i) edge nodes, (ii) communication, and (iii) edge computing.
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Social barriers to the adoption of smart homes

TL;DR: In this paper, the authors explore social barriers to the adoption of smart homes through the analysis of expert views and public attitudes, including how these vary by expertise, life-stage and location.
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Cyber-physical attacks and defences in the smart grid: a survey

Haibo He, +1 more
TL;DR: This paper provides a comprehensive and systematic review of the critical attack threats and defence strategies in the smart grid, and focuses on prominent CP attack schemes with significant impact on the smartgrid operation and corresponding defense solutions.
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Local Energy Markets: Paving the Path Toward Fully Transactive Energy Systems

TL;DR: In this paper, the authors evaluate a fully integrated transactive system by modeling the energy resource management problem of a microgrid under uncertainty considering flexible loads and market participation, and coupling these elements into an integrated trans-active energy simulation.
References
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Journal ArticleDOI

Social Norms and Energy Conservation

TL;DR: In this paper, a series of programs run by a company called OPOWER to send Home Energy Report letters to residential utility customers comparing their electricity use to that of their neighbors is evaluated.
Journal ArticleDOI

A summary of demand response in electricity markets

TL;DR: In this article, the authors present a summary of demand response in deregulated electricity markets and highlight the most common indices used for DR measurement and evaluation, and some utilities' experiences with different demand response programs are discussed.
Journal ArticleDOI

Modeling of end-use energy consumption in the residential sector: A review of modeling techniques

TL;DR: In this paper, the authors provide an up-to-date review of the various modeling techniques used for modeling residential sector energy consumption, focusing on the strengths, shortcomings and purposes.
Journal ArticleDOI

Demand side management: Benefits and challenges ☆

TL;DR: In this paper, the major benefits and challenges of electricity demand side management (DSM) are discussed in the context of the UK electricity system, particularly in the residential, commercial and small business sectors.
Journal ArticleDOI

Security and Privacy Challenges in the Smart Grid

TL;DR: The smart grid is the modernization of the existing electrical system that enhances customers' and utilities' ability to monitor, control, and predict energy use.
Related Papers (5)
Frequently Asked Questions (10)
Q1. What are the contributions in "Smart meter data: balancing consumer privacy concerns with legitimate applications" ?

The use of personal data within legitimate industry applications can often be minimised or avoided, and appropriate data selection or processing techniques have been suggested for consideration this paper. 

It is suggested however that much can be done to maintain privacy within this application, for example by improving the current structural classification of dwellings within network design, and this is recommended as a useful topic for further research. Secondly, where consumer load profiles are consistently different from the settlement profile classes, as may be the case for small, niche suppliers, such data could be used to improve the accuracy of the settlement process. This paper suggests that the use of appropriate 'privacy friendly ' techniques can considerably reduce the electricity supply industry 's requirements for sensitive smart meter data. 

Smart meters are being installed in large numbers throughout the world due to the benefits they are expected to bring to the electricity supply industry and its customers. 

Perhaps the most obvious concern is that commercial entities, including companies of various forms, will seek to use smart meter data as a means to gather information about their market and customers. 

Different stakeholders have different objectives: suppliers (the companies that purchase electricity in the wholesale market and sell electricity to consumers in the retail market) are expecting to reduce operational overheads associated with manual meter reading and potentially improve customer loyalty or „stickyness‟ (Rogai, 2006); the operators of the transmission system and distribution networks hope to benefit from a more flexible demand side to enable greater penetrations of low-carbon technologies (Strbac et al., 2010); governments hope that the improvements in end-use energy efficiency promised by smart meters will help to achieve binding carbon reduction targets (Department for Energy and Climate Change, 2010); and end-users may hope to benefit from reduced electricity bills as they become more energy aware (Darby, 2006; Mott MacDonald, 2007; Owen and Ward, 2006). 

Some journalists have accused smart meters of having the potential to be a „spy in the home‟, which will allow governments to monitor household behaviour (Jamieson, 2009). 

The installation of smart meters is presented by their proponents as a critical step in the transition to a low-carbon economy, yet it is a step that could prove unwelcome to consumers if their privacy concerns are not adequately considered. 

Uses by law enforcement agencies Detection of illegal activities e.g. sweatshops, unlicensed commercial activities, drug production. 

The judges of the yearly event, which is organised by the „FoeBuD‟ civil rights and privacy campaign group, thought that the supplier‟s smart metering activities would „potentially lead […] to a detailed surveillance of activities in the home‟ 

In Germany, the electricity supplier Yello Strom GmbH „won‟ an award in the Technology category of a „Big Brother‟ awards ceremony in 2008 for its plans to introduce smart meters to its customers.