747 research outputs found

    Application of Deep Learning Long Short-Term Memory in Energy Demand Forecasting

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    The smart metering infrastructure has changed how electricity is measured in both residential and industrial application. The large amount of data collected by smart meter per day provides a huge potential for analytics to support the operation of a smart grid, an example of which is energy demand forecasting. Short term energy forecasting can be used by utilities to assess if any forecasted peak energy demand would have an adverse effect on the power system transmission and distribution infrastructure. It can also help in load scheduling and demand side management. Many techniques have been proposed to forecast time series including Support Vector Machine, Artificial Neural Network and Deep Learning. In this work we use Long Short Term Memory architecture to forecast 3-day ahead energy demand across each month in the year. The results show that 3-day ahead demand can be accurately forecasted with a Mean Absolute Percentage Error of 3.15%. In addition to that, the paper proposes way to quantify the time as a feature to be used in the training phase which is shown to affect the network performance

    Tax avoidance as an anti-austerity issue: the progress of a protest issue through the public sphere

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    Theorists of left and right agree that periods of crisis are fertile times at which to precipitate change. However, protesters on the periphery of the public sphere must overcome barriers, or what Habermas called ‘sluice gates’, if their discourse is to be publicly and politically influential. This study of newspaper discourse and activity in parliament and the public sphere over a six year period takes tax justice campaigning in the UK as a case study, and in particular protest group UK Uncut’s attempt to mobilize opposition to austerity by advocating a crackdown on tax avoidance as an alternative to cuts. It finds that whilst UK Uncut successfully amplified existing arguments previously raised by experts, trade unions and the left-leaning press, austerity barely figured in debate about tax avoidance once it was picked up by other actors in the public sphere on the other side of the 'sluice gates'. The reasons for this were structural and discursive, related to the role and interests of receptive actors at the institutional centre of the public sphere, and their ability, along with the conservative press, to transform the moral framing of tax avoidance from the injustice of making the poor pay for the financial crisis through cuts, into the 'unfairness' of middle class earners paying higher taxes than wealthier individuals and corporations. The latter reifies the 'hardworking taxpayer', and implies a more instrumental and clientalistic relationship to the state, and an essentially neoliberal sense of fairness. Where neoliberal ideology was challenged, it was in social conservative terms – nationalist opposition to globalisation, framing multinational corporations as a threat to the domestic high street – rather than protesters’ social democratic challenge to market power and social injustice. This indicates how a progressive message from the periphery can be co-opted into the currently resurgent right-wing populism

    Reflections on Modern Macroeconomics: Can We Travel Along a Safer Road?

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    In this paper we sketch some reflections on the pitfalls and inconsistencies of the research program - currently dominant among the profession - aimed at providing microfoundations to macroeconomics along a Walrasian perspective. We argue that such a methodological approach constitutes an unsatisfactory answer to a well-posed research question, and that alternative promising routes have been long mapped out but only recently explored. In particular, we discuss a recent agent-based, truly non-Walrasian macroeconomic model, and we use it to envisage new challenges for future research.Comment: Latex2e v1.6; 17 pages with 4 figures; for inclusion in the APFA5 Proceeding

    Sociological and Communication-Theoretical Perspectives on the Commercialization of the Sciences

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    Both self-organization and organization are important for the further development of the sciences: the two dynamics condition and enable each other. Commercial and public considerations can interact and "interpenetrate" in historical organization; different codes of communication are then "recombined." However, self-organization in the symbolically generalized codes of communication can be expected to operate at the global level. The Triple Helix model allows for both a neo-institutional appreciation in terms of historical networks of university-industry-government relations and a neo-evolutionary interpretation in terms of three functions: (i) novelty production, (i) wealth generation, and (iii) political control. Using this model, one can appreciate both subdynamics. The mutual information in three dimensions enables us to measure the trade-off between organization and self-organization as a possible synergy. The question of optimization between commercial and public interests in the different sciences can thus be made empirical.Comment: Science & Education (forthcoming

    (Dis)entangling Barad: Materialisms and ethics

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    In the wake of the widespread uptake of and debate surrounding the work of Karen Barad, this article revisits her core conceptual contributions. We offer descriptions, elaborations, problematizations and provocations for those intrigued by or invested in this body of work. We examine Barad’s use of quantum physics, which underpins her conception of the material world. We discuss the political strengths of this position but also note tensions associated with applying quantum physics to phenomena at macro-scales. We identify both frictions and unacknowledged affinities with science and technology studies in Barad’s critique of reflexivity and her concept of diffraction. We flesh out Barad’s overarching position of ‘agential realism’, which contains a revised understanding of scientific apparatuses. Building upon these discussions, we argue that inherent in agential realism is both an ethics of inclusion and an ethics of exclusion. Existing research has, however, frequently emphasized entanglement and inclusion to the detriment of foreclosure and exclusion. Nonetheless, we contend that it is in the potential for an ethics of exclusion that Barad’s work could be of greatest utility within science and technology studies and beyond
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