1,721,391 research outputs found

    A Consensus Q-Learning Approach for Decentralized Control of Shared Energy Storage

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    In this letter, we study the say decentralized scheduling of an energy storage system say shared among residential households. In particular, we consider the households as learning agents and model their interaction as a Markov Game. To address the challenges associated with the non-stationary nature of the multi-agent learning, we propose a consensus-based Tabular QQ- learning method. Additionally, we provide simulation studies utilizing a real-world household dataset and demonstrate the effectiveness of our approach

    Are you a “viral star”? Conceptualizing and modeling inter-media virality

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    The spread of social media has meant that user-generated content (UGC) has become an important form of communication. Most of the previous research in social media has concentrated on analyzing message virality, or the causes of why certain messages go viral. We posit that accounting for media virality, a phenomenon where messages are transferred beyond the original media they were carried in, has become imperative. In this article, we argue that media virality is a function of product characteristics and propose a framework for capturing this type of virality using just two dimensions, the inter-media elasticity and inter-media duration, together referred to as an entity’s inter-media reactivity (IMR). We illustrate the application of our concept using data on movie stars across several media. We calculate the IMR for each star and demonstrate how media virality differs across each; we also analyze the star-specific characteristics that drive media virality. Subsequently, we use the IMR of individual stars as a predictive variable to forecast the performance of their movies. Our research thus provides a theoretical contribution to the literature by exploring media virality while also providing several managerially relevant substantive insights about the motion picture industry

    A Periodicity Based Approach for Optimal Sizing of Grid-Connected Household PV-BESS System

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    This paper presents an optimal sizing for residential household solar photovoltaic (PV) and battery energy storage systems (BESS) connected to the grid. The objective is to maximize solar energy self-consumption and the utilization of battery energy storage and to minimize electricity bills subsequently. An optimal sizing problem is developed, where electricity price, solar irradiation, PV and BESS's capital costs, their net present value (NPV), and BESS's efficiency are taken into account. Typical weeks for four different seasons of each year are used to reduce simulation run time on a longer planning horizon (typically 20 years). Six different methods are used to obtain periodic signals for solar generation and load demand, which are L1 norm, L2 norm, average, weighted least square (WLS), WLS + L1 regularization, and bound average. The simulation study is performed using four different actual household demand datasets. It shows that the L1 norm method gives the best results among all these methods. From the simulation results, this study concluded that it is economically beneficial for households to install PV and BESS

    An Adaptive Self-modeling Network Model for Multilevel Organizational Learning

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    Multilevel organizational learning concerns an interplay of different types of learning at individual, team, and organizational levels. These processes use complex dynamic and adaptive mechanisms. A second-order adaptive network model for this is introduced here and illustrated.Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Safety and Security Scienc

    Computational Modelling of the Role of Leadership Style for Its Context-Sensitive Control Over Multilevel Organisational Learning

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    This paper addresses formalisation and computational modelling of context-sensitive control over multilevel organisational learning and in particular the role of the leadership style in influencing feed forward learning flows. It addresses a realistic case study with focus on the role of managers for control of multilevel organisational learning. To this end a second-order adaptive self-modelling network model is introduced and an example simulation for the case study is discussed.</p

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Variations on the Author

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    “Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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