312 research outputs found

    Lessons learnt from mining meter data of residential consumers

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    Tracking end-users' usage patterns can enable more accurate demand forecasting and the automation of demand response execution. Accordingly, more advanced applications, such as electricity market design, integration of distributed generation and theft detection can be developed. By employing data mining techniques on smart meter recordings, the suppliers can efficiently investigate the load patterns of consumers. This paper presents applications where data mining of energy usage can derive useful information. Higher demands, on one side, and the energy price increase on the other side, have caused serious issues with regards to electricity theft, especially among developing countries. This phenomenon leads to considerable operational losses within the electrical network. In order to identify illegal residential consumers, a new method of analysing and identifying electricity consumption patterns of consumers is proposed in this paper. Moreover, the importance of data mining for analysing the consumer's usage curves was investigated. This helps to determine the behaviour of end-users for demand response purposes and improve the reliability and security of the electricity network. Clustering load profiles for large scale energy datasets are discussed in detail

    Fantasies of subjugation: a discourse theoretical account of British policy on the European Union

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    The decision by the UK government to hold a referendum on Britain’s membership of the European Union (EU) marks an important development in policy towards the EU. Policy changes of this kind must be understood in the historical and political context in which they occur. This includes the framing of the policy issues within public discourse. In the UK, policies are formed in a discursive environment which is overwhelmingly hostile towards the EU. Debates are structured by a predominantly Euroskeptic discourse which emphasizes the UK’s separation and heterogeneity from the rest of the EU. Drawing on the logics of critical explanation, this article examines the structure and affective power of Euroskeptic discourses which dictate the terms of the EU debate. It presents a case study of the recent EU treaty revision process, culminating in the Treaty of Lisbon. In so doing, it enables a deeper understanding of recent policy developments

    Reaching out to early-career astrobiologists: AbGradE's actions and perspectives

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    Astrobiology Graduates in Europe (AbGradE, pronounced ab-grad-ee) is an association of early-career scientists working in fields relevant to astrobiological research. Conceptualized in 2013, it was initially designed as a mini-conference or workshop dedicated to early-career researchers, providing a friendly environment where early-career minds would be able to present their research without being intimidated by the possibility of facing a more traditional audience, composed mainly of senior scientists. Within the last couple of years, AbGradE became the first point of call for European, but also for an increasing number of non-European, early-career astrobiologists. This article aims to present how AbGradE has evolved over the years (in its structure and in its way of organizing events), how it has adapted with the COVID-19 pandemic, and what future developments are considered

    A decision support system for the development of voyage and maintenance plans for ships

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    The waterborne sector faces nowadays significant challenges due to several environmental, financial and other concerns. Such challenges may be addressed, among others, by optimising voyage plans, and diagnosing as early as possible engine failures that may lead to performance degradation. These two issues are addressed by the Decision Support System (DSS) presented herein, which focuses on the operation of merchant ships. For the development of voyage plans, a multicriteria decision problem is developed and handled with the PROMETHE method, while a multivariable control chart is used for the fault diagnosis problem. A MATLAB-based software implementation of the DSS has been developed adopting a modular architecture, while, in order to provide a generic software solution, the required input data are retrieved from dedicated web-services, following specific communication and data exchange protocols

    Possible relationship between Seismic Electric Signals (SES) lead time and earthquake stress drop

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    Stress drop values for fourteen large earthquakes with MW ≥ 5.4 which occurred in Greece during the period 1983–2007 are available. All these earthquakes were preceded by Seismic Electric Signals (SES). An attempt has been made to investigate possible correlation between their stress drop values and the corresponding SES lead times. For the stress drop, we considered the Brune stress drop, ΔσB, estimated from far field body wave displacement source spectra and ΔσSB derived from the strong motion acceleration response spectra. The results show a relation may exist between Brune stress drop, ΔσB, and lead time which implies that earthquakes with higher stress drop values are preceded by SES with shorter lead time

    Horses for courses: exploring the limits of leadership development through equine-assisted learning

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    YesThis essay draws on insights taken from Lacanian psychoanalysis to rethink and resituate notions of the self and subjectivity within the theory and practice of experiential leadership development. Adopting an auto-ethnographic approach, it describes the author’s own experience as a participant in a programme of equine assisted learning or ‘horse whispering’ and considers the consequences of human-animal interactions as a tool for self-development and improvement. Through an analysis of this human/animal interaction, the essay presents and applies three Lacanian concepts of subjectivity, desire and fantasy and considers their form and function in determining the often fractured relationship between self and other that characterises leader-follower relations

    Capturing Desire: Rhetorical Strategies and the Affectivity of Discourse

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    In this article I argue that psychoanalytical theory can help us understand the emotional force of political rhetoric. I undertake a theoretical enquiry into the method of interpreting political speeches as strategies of affective persuasion. Both rhetorical and psychoanalytical studies converge in their concern with the production of ‘plausible stories’ that aim to fold psychic investments into political judgements. To capture desire, I claim, political rhetoric must articulate ‘symptomatic beliefs’ in relation to wider situational exigencies. I sketch three distinct psychoanalytical approaches, each of which emphasises a different scenario of unconscious organisation where rhetorical strategies are pertinent: namely Freudian, Kleinian, and Lacanian approaches. These are then applied to the example of a controversial rhetorical intervention – Enoch Powell’s infamous Birmingham speech of 1968 – to demonstrate the various potential focii when undertaking analysis
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