Transforming Big Data into Collective Awareness

Pitt, Jeremy; Bourazeri, Aikaterini; Nowak, Andrzej; Roszczyńska-Kurasińska, Magdalena; Rychwalska, Agnieszka; Santiago, Inmaculada Rodríguez; Lopez-Sanchez, Maite; Florea, Monica; Sănduleac, Mihai

doi:10.1109/mc.2013.153

Cited by 50 publications

(25 citation statements)

References 8 publications

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“…Self-Healing leads to power with real 'immune system' in Smart Grid framework and aims to target uninterrupted supply of power. [29], [30]. …”

Section: Big Data Issues Related To Dynamic Energy Management In Smarmentioning

confidence: 99%

Generation of dynamic energy management using data mining techniques basing on big data analytics isssues in smart grids

Lydia¹,

Kumar²,

Ramya³

2018

IJET

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The Optimal bidirectional flow of the electric power and the communicational data between suppliers and consumers are greatly enabled by the Smart Electricity in Grid. Reliable and Feasible micro energy generated due to Dynamic Energy Management (DEM) and the electricity market by consumers and suppliers. The smart grid features ICCM, aims to bring out the power at reduced cost. Powerful and practical DEM relies on load and sustainable production. Smart meters attain the huge data quantity through practical methods and solutions in this real world working. Smart Grids are enhanced by the operations such as data analytics, giving out high performance estimation, Adequate data network management and cloud computing. This paper aims focusthe issuesin big data and challenges experienced by the Dynamic Energy Management signed in Smart Grid. A detail explanation of data processing techniques that are mostly implemented and It also provides a brief description of the most commonly used data processing methods and recommended proposes a upcoming future directional research in thefield.

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“…Self-Healing leads to power with real 'immune system' in Smart Grid framework and aims to target uninterrupted supply of power. [29], [30]. …”

Section: Big Data Issues Related To Dynamic Energy Management In Smarmentioning

confidence: 99%

Generation of dynamic energy management using data mining techniques basing on big data analytics isssues in smart grids

Lydia¹,

Kumar²,

Ramya³

2018

IJET

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“…analogous to the way that social capital is defined by Ostrom and Ahn [1] as "an attribute of individuals that helps them solve collective action problems". Collective awareness is a critical aspect within communities which promotes collective action; members of communities take the necessary actions as a synchronised and accumulated body to reach a desirable outcome for collective resources and services -water, electricity and data [2]. Collective awareness is the common knowledge that comes from social networking, self-organisation and coordination, and it is the essential link between self-organising communities and successful collective actions [3].…”

Section: Collective Awarenessmentioning

confidence: 99%

Enabling collective awareness of energy use via a social serious game

Bourazeri¹,

Pitt²,

Arnab³

2017

EAI Endorsed Transactions on Game-Based Learning

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Serious games are digital games, simulations and virtual environments designed for primary purposes (e.g. teaching, learning and training) other than pure entertainment. They are experiential environments where features such as thought-provoking, informative or stimulating are as important, if not more so, than fun or entertainment. A number of serious games have been developed for energy systems that act as educational tools and help energy consumers to better understand concepts such as resource allocation, electricity prices and grid sustainability. This paper discusses the development of a serious game, the Social Mpower, which visualises a community energy system in which players should avoid energy problems (i.e. blackouts) by individually reducing their energy consumption and sustain the Common-Pool Resource (CPR) of their community. Our experimental hypothesis is that if players are "collective aware" of their individual and community consumption, they consume energy in a more e cient and e↵ective way and therefore, they can avoid potential energy problems (i.e. blackouts). Our experimental results show that Social Mpower can be productively used as an educational tool to bring a desired change in people's behaviour towards energy consumption.

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“…analogous to the way that social capital is defined by Ostrom and Ahn [12] as "an attribute of individuals that helps them solve collective action problems". Collective awareness is a critical aspect within communities which promotes collective action; members of communities take the necessary actions as a synchronised and accumulated body to reach a desirable outcome for collective resources and services -water, electricity and data [13].…”

Section: Collective Awarenessmentioning

confidence: 99%

Social Mpower: An Educational Game for Energy Efficiency

Bourazeri

Pitt

Arnab

2016

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Abstract. A number of serious games have been developed for energy systems that act as an educational tool and help energy consumers to better understand concepts such as resource allocation, electricity prices and grid sustainability. In such gamified environments, players use technology to solve environmental problems including greener environment, optimised energy and water infrastructure, sustainable resources and reduced energy use. Social Mpower game is a representation of an autonomous energy community for local power generation and distribution in which the participants have to avoid a collective blackout by individually reducing their energy consumption by synchronising and coordinating their actions. Our experimental hypothesis is that collective awareness can be enhanced by appropriate features of the game interface, and therefore to increase the opportunities and prospects for successful collective action (e.g to avoid a blackout).

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Transforming Big Data into Collective Awareness

Cited by 50 publications

References 8 publications

Generation of dynamic energy management using data mining techniques basing on big data analytics isssues in smart grids

Generation of dynamic energy management using data mining techniques basing on big data analytics isssues in smart grids

Enabling collective awareness of energy use via a social serious game

Social Mpower: An Educational Game for Energy Efficiency

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