Reconciling privacy and efficient utility management in smart cities

Rebollo-Monedero, David; Bartolí, Andrea; Hernández-Serrano, Juan; Forné, Jordi; Soriano, Miguel

doi:10.1002/ett.2708

Cited by 22 publications

(9 citation statements)

References 33 publications

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“…To implement the proposed algorithm, it requires smart and expensive equipment, and by employing this scheme the system become complex and cost expensive. A game theoretic and DERs based DSM scheme explored by the authors in [14][15][16][17] reduce the consumer energy consumption by the use of DERs. Distributed energy storage in DERs and electrical vehicle are important technology for DSM.…”

Section: Related Workmentioning

confidence: 99%

Smart energy-consumption management system considering consumers' spending goals (SEMS-CCSG)

Yaqub

Ahmad

et al. 2015

Int. Trans. Electr. Energ. Syst.

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Summary The goal of this paper is to optimize energy consumption, with minimum consumer interaction, and least impact on his/her life style, comfort and convenience. In the literature different demand side management (DSM) schemes are employed for consumer demand management. Till now, to the best of our knowledge none of researchers considered the consumers preferences, priorities, ease of use, grid stability, deviation minimization, demand curve flattening and implantation cost, collectively in a single management scheme. In this paper we proposed an innovative, cost‐effective solution, to overcome most of the shortcomings of the previous solutions. In addition, it would also provide consumers' privacy as it would mask the energy usage pattern that combines psychological incentives in addition to economic benefits. The proposed Smart Energy‐consumption Management System Considering Consumers' Spending Goal (SEMS‐CCGS) can be used for optimized electricity consumption at any premises (residential, enterprise, commercial, etc.). The preliminary simulations showed 25.6% of electricity cost saving using SEMS‐CCGS. The proposed system is appraised valuable by the utility companies whose focus is to shave peak loads. It also plays an important role in grid stability by improving the diversity factor and deviation of consumers load profile from available load curve. The simulation shows that deviation is minimized up to 45%. Copyright © 2015 John Wiley & Sons, Ltd.

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Section: Related Workmentioning

confidence: 99%

Smart energy-consumption management system considering consumers' spending goals (SEMS-CCSG)

Yaqub

Ahmad

et al. 2015

Int. Trans. Electr. Energ. Syst.

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“…There are several new constituents emerging in the technology landscape of cities today [7][8][9][10][11][12][13][14][15][16][17]. Notably, cities start to roll out smart city "operating systems" or data platforms that rely on the input of data from sensors deployed in the field; data gathered from people via, for example, social media; or data taken from the Internet at large.…”

Section: Smart City Technologiesmentioning

confidence: 99%

Machine-to-machine (M2M) communications for smart cities

Vilajosana¹,

Döhler²

2015

Machine-to-Machine (M2M) Communications

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“…They may also share their image and voice (through noise detection for example). Sharing this information raises concerns about their privacy, compromising their freedom of speech, association and fundamental human rights . The CW design needs to pay special attention to maintaining participants’ privacy by informing them of the intended use of the information that they share; enabling them to control the nature, granularity and amount of this information, and empowering them to sanction when, where and with whom they will share it.…”

Section: Qualitative Research Conclusionmentioning

confidence: 99%

CityWatch: exploiting sensor data to manage cities better

Manzoor

Patsakis

Morris

et al. 2014

Trans. Emerging Tel. Tech.

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Persistent urbanisation of our planet places a continuous strain on cities' resources and the quality of service delivery. While increasing city infrastructure might help alleviate this problem, the scale and complexity of future cities mean that this approach is unsustainable. Cities, however, are becoming increasingly instrumented with a myriad of sensors, both fixed and mobile. While a number of systems aim to exploit such sensors to gather information and to provide a real-time view of the city, existing approaches are application-specific, hindering their scalability and reuse. Using the city of Dublin (Ireland) as a testbed, this paper describes our iterative consultation process with city stakeholders to design CityWatch, an urban-scale data sensing and dissemination framework. In particular, it presents the resulting design of two prototype applications, the requirements on the overall framework, an initial implementation, and discusses the early results of ongoing trials.

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Reconciling privacy and efficient utility management in smart cities

Cited by 22 publications

References 33 publications

Smart energy-consumption management system considering consumers' spending goals (SEMS-CCSG)

Smart energy-consumption management system considering consumers' spending goals (SEMS-CCSG)

Machine-to-machine (M2M) communications for smart cities

CityWatch: exploiting sensor data to manage cities better

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