A survey towards understanding residential prosumers in smart grid neighbourhoods

Silva, P. G. D.; Karnouskos, Stamatis; Ilić, Dejan

doi:10.1109/isgteurope.2012.6465864

Cited by 33 publications

(24 citation statements)

References 8 publications

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“…Ten papers [6,[30][31][32][33][34][35][36][37][38] offered a variety of nuanced theoretical discussions about the smart city, at times even calling for increased citizen participation, but the wants, needs, perspectives, and actual involvement of smart city residents was absent from these papers. The remaining set of ten papers [39][40][41][42][43][44][45][46][47][48] presented smart city technologies that were being, or had been designed and developed, without the involvement of local residents. From the deployment of "smart dust" [39] to the development of "cloud-based big data analytics" [43], the involvement of local residents seemed to be an unnecessary issue for many smart city technology developers.…”

Section: Research Contextmentioning

confidence: 99%

Where’s Wally? In Search of Citizen Perspectives on the Smart City

et al. 2016

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This paper builds upon an earlier conference publication by the authors, offering contributions based on a systematic literature review and qualitative study. The paper begins by drawing attention to the paucity of "citizen"-more appropriately, "situated"-perspectives on what a smart city should and could be. The paper then addresses that absence by detailing a research project that explored how people in London, Manchester, and Glasgow responded to the smart city concept. Participants were asked questions regarding their prior familiarity with the phrase "smart city", their thoughts relating to what it means for a city to be smart, and what a "true" smart city might mean to them. The paper analyses and offers a synthesis of the responses collected throughout the research with the dominant rhetoric about smart cities, as identified through a recent systematic literature review, thereby providing a critical assessment of the values underlying the smart city. It aims to explore and present some of the expectations that citizens hold for their cities' politicians, policy makers, planners, academics, and technology companies. We believe that these perspectives from citizens can be used to inform responsible development, spatially and socially inclusive technologies, and ultimately more resilient cities.

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Section: Research Contextmentioning

confidence: 99%

Where’s Wally? In Search of Citizen Perspectives on the Smart City

et al. 2016

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“…Silva et al [13] conducted a survey which described the general feeling and awareness about the benefits and challenges associated with interaction of prosumers with other grid players. This survey demonstrated the willingness of the prosumers to discuss and coordinate with other prosumers and form prosumer groups.…”

Section: Related Workmentioning

confidence: 99%

A Novel Prosumer-Based Energy Sharing and Management (PESM) Approach for Cooperative Demand Side Management (DSM) in Smart Grid

et al. 2016

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Increasing population and modern lifestyle have raised energy demands globally. Demand Side Management (DSM) is one important tool used to manage energy demands. It employs an advanced power infrastructure along with bi-directional information flow among utilities and users in order to achieve a balanced load curve and minimize demand-supply mismatch. Traditionally, this involves shifting the electricity demand from peak hours to other times of the day in an optimized manner. Multiple users equipped with renewable resources work in coordination with each other in order to achieve mutually beneficial energy management. This, in turn, has generated the concept of cooperative DSM. Such users, called prosumers, consume and produce energy using renewable resources (solar, wind etc.). Prosumers with surplus energy sell to the grid as well as to other consumers. In this paper, a novel Prosumer-based Energy Sharing and Management (PESM) scheme for cooperative DSM has been proposed. A simulation model has been developed for testing the proposed method. Different variations of the proposed methodology have been experimented with different criteria. The results show that the proposed energy sharing scheme achieves DSM purposes in a useful manner.

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“…Most studies adopt a top-down approach in modelling energy consumers to forecast demand on the basis of aggregated load level. As smart meter deployment facilitates collection of individual end-user/stakeholder data, the number of studies on residential load modelling has increased [9]- [13]. Many studies use neural networks, support vector machines (SVM) or relatively simple statistical techniques such as regression models to forecast residential load.…”

Section: Related Workmentioning

confidence: 99%

Monitoring Stakeholder Behaviour for Adaptive Model Generation and Simulation: A Case Study in Residential Load Forecasting

Genc

Oey

Brazier

2015

2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)

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Simulations are important in the design and development of large-scale infrastructures, such as the smart grid, to explore the impact of design choices on local and overall system behaviour, given reliable information on the behaviour of individual resources and their interaction. This paper proposes a new multi-agent approach to dynamic generation of reliable models leveraging real-time data from network resources in a distributed manner by addressing privacy, scalability and accuracy. The approach was incorporated into an adaptive model generation and simulation system with which models of stakeholder resources are generated, stored in a repository, and updated automatically. The system is illustrated with a use-case on residential load modelling for short-term demand forecasting using neural networks.

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A survey towards understanding residential prosumers in smart grid neighbourhoods

Cited by 33 publications

References 8 publications

Where’s Wally? In Search of Citizen Perspectives on the Smart City

Where’s Wally? In Search of Citizen Perspectives on the Smart City

A Novel Prosumer-Based Energy Sharing and Management (PESM) Approach for Cooperative Demand Side Management (DSM) in Smart Grid

Monitoring Stakeholder Behaviour for Adaptive Model Generation and Simulation: A Case Study in Residential Load Forecasting

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