Imagining the smart city through smart grids? Urban energy futures between technological experimentation and the imagined low-carbon city

Quitzow, Leslie; Rohde, Friederike

doi:10.1177/00420980211005946

Cited by 16 publications

(16 citation statements)

References 70 publications

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“…That way, this research is proven to have the main focus, for precise details can be seen in Figure 5. Today's imagination of urban smart grid technology paints a compelling picture of the kind of energy the future wants (Quitzow & Rohde, 2022), and this rapid development of information technology is changing the way government organizations interact with their citizens, consequently, the introduction of e-government as a critical service delivery method in the public sector (Mahmood, 2016). One of the fundamental goals of e-government is to provide institutional changes and new modalities in delivering public services to citizens (Filgueiras et al, 2019).…”

Section: The Network Between the Keyword "Corruption In Government Se...mentioning

confidence: 99%

Culture of corruption in the smart service system of global governance

Wiyono

Purnomo

Lestari

2023

Chinese Public Administration Review

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This study aims to determine the culture of corruption in the global government smart service system in the last 5 years, from 2018 to 2022. This research used a qualitative method with a library research approach. The research data was obtained from the Scopus database of 318 articles. Data analysis in this study used VOSviewer and NVivo 12 plus devices. Through 318 article documents, the results showed that the United Kingdom had the highest contribution of artistic documents, and the University of South Africa was affiliated with the highest number of document publications of the 10 other affiliates. The “moral and ethical” movement within government agencies is expected to restore trust in the community and create conditions for a social environment that rejects, even opposes, and punishes acts of corruption.

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Section: The Network Between the Keyword "Corruption In Government Se...mentioning

confidence: 99%

Culture of corruption in the smart service system of global governance

Wiyono

Purnomo

Lestari

2023

Chinese Public Administration Review

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“…Levenda (2019) extends this argument, contending that smart grid experiments are enrolled in entrepreneurial modalities of urban governance, which seek to constrain citizen participation in urban life to the realm of individual consumption. Similarly, Quitzow and Rohde (2021) suggest that dominant narratives of the smart grid, which position this as necessary for a more sustainable, economically successful and liveable city, draw on the claims and interests of a small community of 'experts', foreclosing the development of more radical and inclusive visions of urban change.…”

Section: Theorising the Smart Gridmentioning

confidence: 99%

Smart energopower: Energy, work and waste within a UK smart grid trial

Angel

2023

Environment and Planning E: Nature and Space

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In The Birth of Energy (2019), Cara New Daggett offers an incisive critique of the dominant thermodynamic concept of energy. ‘Energy’, Daggett shows, is inextricably tied to an exploitative productivist politics that extols the virtues of work and the sins of waste. In this paper, I seek to develop new conversations between Daggett's account in The Birth of Energy and an important empirical development within the energy industry that Daggett herself does not consider: the smart grid. The paper draws upon a mixed-methods research project, investigating a UK smart grid trial called ‘OpenDSR’ devised and implemented by Manchester-based co-operative Carbon Co-op, with funding from the UK government. I draw on my research within OpenDSR to make two interconnected arguments. Firstly, I argue that the smart grid sees an intensification of the energy-as-work logic that Daggett opposes, taking pre-existing preoccupations with calculation and measurement within the energy system to new extremes in pursuit of the maximisation of efficiency and the minimisation of waste. I then proceed to think through the political implications of this argument, contending that while the smart grid reproduces the dominant energy logic that Daggett critiques, it might still have a part to play within an emancipatory environmental politics. In making this claim, a second argument emerges, constituting a sympathetic critique of Daggett's account more broadly. Daggett offers an incisive and important contribution that does much to develop debates within the energy social sciences and humanities. However, I suggest that her account risks obscuring some important political differences between variegated forms of work and waste: while she makes a persuasive case for an anti-work conceptualisation of energy that portends liberation from waged labour, her analysis of the kinds of ‘efficiency’ that pertain to the energy system seems less compelling.

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“…Moreover, the authors also suggested the hierarchy of input attributes from the grid stability perspective. Quitzow and Rohde (2021) have discussed the case study of Berlin for realizing a smart city through the smart grid. The authors have discussed their energy-related policies for implementing a smart city from the smart grid.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Quitzow and Rohde (2021) have discussed the case study of Berlin for realizing a smart city through the smart grid. The authors have discussed their energy‐related policies for implementing a smart city from the smart grid.…”

Section: Literature Reviewmentioning

confidence: 99%

Machine learning‐based model for prediction of power consumption in smart grid‐ smart way towards smart city

et al. 2021

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A smart city is an idea that is realized by the computing of a large amount of data collected through sensors, cameras, and other electronic methods to provide services, manage resources and solve daily life problems. The transformation of the conventional grid to a smart grid is one step in the direction towards smart city realization.An electric grid is composed of control stations, generation centres, transformers, communication lines, and distributors, which helps in transferring power from the power station to domestic and commercial consumers. Present electric grids are not smart enough that they can estimate the varying power requirement of the consumer. Also, these conventional grids are not enough robust and scalable. This has become the motivation for shifting from a conventional grid to a smart grid. The smart grid is a kind of power grid, which is robust and adapts itself to the varying needs of the consumer and self-healing in nature. In this way, the transformation from a conventional grid to a smart grid will help the government to make a smart city. The emergence of machine learning has helped in the prediction of the stability of the grid under the dynamically changing requirement of the consumer. Also, the usage of a variety of sensors will help in the collection of real-time consumption data. Through machine learning algorithms, we can gain an insight view of the collected data. This has helped the smart grid to convert into a robust smart grid, as this will help in avoiding the situation of failure. In this work, the authors have applied logistic regression, decision tree, support vector machine, linear discriminant analysis, quadratic discriminant analysis, naïve Bayes, random forest, and k-nearest neighbour algorithms to predict the stability of the grid. The authors have used the smart grid stability dataset freely available on Kaggle to train and test the models. It has been found that a model designed using the support vector machine algorithm has given the most accurate result.

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Imagining the smart city through smart grids? Urban energy futures between technological experimentation and the imagined low-carbon city

Cited by 16 publications

References 70 publications

Culture of corruption in the smart service system of global governance

Culture of corruption in the smart service system of global governance

Smart energopower: Energy, work and waste within a UK smart grid trial

Machine learning‐based model for prediction of power consumption in smart grid‐ smart way towards smart city

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