20,291 research outputs found

    Scenarios for the development of smart grids in the UK: literature review

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    Smart grids are expected to play a central role in any transition to a low-carbon energy future, and much research is currently underway on practically every area of smart grids. However, it is evident that even basic aspects such as theoretical and operational definitions, are yet to be agreed upon and be clearly defined. Some aspects (efficient management of supply, including intermittent supply, two-way communication between the producer and user of electricity, use of IT technology to respond to and manage demand, and ensuring safe and secure electricity distribution) are more commonly accepted than others (such as smart meters) in defining what comprises a smart grid. It is clear that smart grid developments enjoy political and financial support both at UK and EU levels, and from the majority of related industries. The reasons for this vary and include the hope that smart grids will facilitate the achievement of carbon reduction targets, create new employment opportunities, and reduce costs relevant to energy generation (fewer power stations) and distribution (fewer losses and better stability). However, smart grid development depends on additional factors, beyond the energy industry. These relate to issues of public acceptability of relevant technologies and associated risks (e.g. data safety, privacy, cyber security), pricing, competition, and regulation; implying the involvement of a wide range of players such as the industry, regulators and consumers. The above constitute a complex set of variables and actors, and interactions between them. In order to best explore ways of possible deployment of smart grids, the use of scenarios is most adequate, as they can incorporate several parameters and variables into a coherent storyline. Scenarios have been previously used in the context of smart grids, but have traditionally focused on factors such as economic growth or policy evolution. Important additional socio-technical aspects of smart grids emerge from the literature review in this report and therefore need to be incorporated in our scenarios. These can be grouped into four (interlinked) main categories: supply side aspects, demand side aspects, policy and regulation, and technical aspects.

    From metaheuristics to learnheuristics: Applications to logistics, finance, and computing

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    Un gran nombre de processos de presa de decisions en sectors estratègics com el transport i la producció representen problemes NP-difícils. Sovint, aquests processos es caracteritzen per alts nivells d'incertesa i dinamisme. Les metaheurístiques són mètodes populars per a resoldre problemes d'optimització difícils en temps de càlcul raonables. No obstant això, sovint assumeixen que els inputs, les funcions objectiu, i les restriccions són deterministes i conegudes. Aquests constitueixen supòsits forts que obliguen a treballar amb problemes simplificats. Com a conseqüència, les solucions poden conduir a resultats pobres. Les simheurístiques integren la simulació a les metaheurístiques per resoldre problemes estocàstics d'una manera natural. Anàlogament, les learnheurístiques combinen l'estadística amb les metaheurístiques per fer front a problemes en entorns dinàmics, en què els inputs poden dependre de l'estructura de la solució. En aquest context, les principals contribucions d'aquesta tesi són: el disseny de les learnheurístiques, una classificació dels treballs que combinen l'estadística / l'aprenentatge automàtic i les metaheurístiques, i diverses aplicacions en transport, producció, finances i computació.Un gran número de procesos de toma de decisiones en sectores estratégicos como el transporte y la producción representan problemas NP-difíciles. Frecuentemente, estos problemas se caracterizan por altos niveles de incertidumbre y dinamismo. Las metaheurísticas son métodos populares para resolver problemas difíciles de optimización de manera rápida. Sin embargo, suelen asumir que los inputs, las funciones objetivo y las restricciones son deterministas y se conocen de antemano. Estas fuertes suposiciones conducen a trabajar con problemas simplificados. Como consecuencia, las soluciones obtenidas pueden tener un pobre rendimiento. Las simheurísticas integran simulación en metaheurísticas para resolver problemas estocásticos de una manera natural. De manera similar, las learnheurísticas combinan aprendizaje estadístico y metaheurísticas para abordar problemas en entornos dinámicos, donde los inputs pueden depender de la estructura de la solución. En este contexto, las principales aportaciones de esta tesis son: el diseño de las learnheurísticas, una clasificación de trabajos que combinan estadística / aprendizaje automático y metaheurísticas, y varias aplicaciones en transporte, producción, finanzas y computación.A large number of decision-making processes in strategic sectors such as transport and production involve NP-hard problems, which are frequently characterized by high levels of uncertainty and dynamism. Metaheuristics have become the predominant method for solving challenging optimization problems in reasonable computing times. However, they frequently assume that inputs, objective functions and constraints are deterministic and known in advance. These strong assumptions lead to work on oversimplified problems, and the solutions may demonstrate poor performance when implemented. Simheuristics, in turn, integrate simulation into metaheuristics as a way to naturally solve stochastic problems, and, in a similar fashion, learnheuristics combine statistical learning and metaheuristics to tackle problems in dynamic environments, where inputs may depend on the structure of the solution. The main contributions of this thesis include (i) a design for learnheuristics; (ii) a classification of works that hybridize statistical and machine learning and metaheuristics; and (iii) several applications for the fields of transport, production, finance and computing

    Risk and regulation of financial groups and conglomerates

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    Recent financial market trends, such as convergence and the spread of conglomerates have changed the nature and structure of the financial sector’s risk profile. The paper investigates this issue from a regulatory policy aspect. Regulatory failures in the 1990s (BCCI, Barings) and the development of the market demonstrate that even „best regulatory practice” does not fulfil the requirements of transparency and efficiency. We investigate the improvement of prudential legislation for financial groups on the example of EU legislation, summarize recommendations made by international forums, and present existing regulatory frameworks in certain countries. In the light of these we address major lacuna in the relevant Hungarian legislation, even going beyond requirements in the field of EU harmonization.financial convergence, financial conglomerates, prudential regulation, European Union, Hungary.

    Social construction of IS evaluation: a case study of IT investment appraisal

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    This study explores the phenomenon of the social construction of IS investment evaluation in the financial services industry. The extensive literature on information systems (IS) evaluation stretches back more than thirty years and it is widely agreed that IS evaluation is an important and complex issue. Constructivist evaluation, which serves to develop the interpretivist strand of the literature, concentrates on the notion that evaluations are the outcomes of an interaction and argumentation process between various interested parties. The purpose of this research is to shed further light on the IS investment evaluation area. Explaining the practice of IS evaluation within the dynamic and technologically sophisticated financial services industry would benefit academics and financial services firms alike. This context is relatively neglected in the existing literature. The chosen case study reflects the demands in the financial services industry to upgrade their infrastructure in order to manage an ever increasing number of transactions, as well as increased regulation. The fieldwork produced extensive data concerning traditional trading, brokerage, high frequency algorithmic trading and transaction clearing. The rapid rise of derivative transactions during the last few years caused problems in terms of clearing and managing the transactions. At the same time, hedge funds‘ growing demand for low latency execution services and changes in regulations increased, pressuring firms in the industry to invest heavily. Actor-network theory (ANT) is used in order to describe and explain the formation of networks between human and non-human actors. The theory‘s specific vocabulary allows IS evaluation to be seen in a new light and the study uses ANT analysis to produce insight into the longstanding problem of IS evaluation, human and non-human interactions and roles within the context if IT investment appraisal. Building on ANT, this thesis is an in-depth case study of the employment process of an IT evaluation method at a global financial services company

    From Fragmentation to Function: Critical Concepts and Writings on Social Capital Markets' Structure, Operation, and Innovation

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    We hope to see a future in which more funds flow to investments seeking the generation of social and/or environmental value in conjunction with some level of financial performance. As the 'capital markets' moniker would suggest, we would like to see these capital flows be performance-based (so that funds advance the work of high-performance investees, while being less accessible to lower-performing and/or riskier ventures). Furthermore, we would like to see these investments adopt structures that more completely address the diverse needs and interests of investors and investees. Our ambition is that by better organizing the ideas and initiatives of the many individuals who have worked to frame this emerging market, these goals may be advanced. The paper's secondary goals are to help focus future research and praxis on efforts that build on the significant body of existing work without unduly re-treading well-worn analytical paths. This paper seeks to promote an elevated discussion of the social capital markets, a discourse focusing on  high-leverage issues. The paper also invites experts from related academic and practical fields to engage in a conversation that has to this point largely been conducted between social sector professionals turning their attention to capital flows and finance professionals placing their expertise in the service of social purposes
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