1,720,954 research outputs found
Cluster-based Aggregate Load Forecasting with Deep Neural Networks
No full textHighly accurate power demand forecasting represents one of key challenges of Smart Grid applications. In this setting, a large number of Smart Meters produces huge amounts of data that need to be processed to predict the load requested by the grid. Due to the high dimensionality of the problem, this often results in the adoption of simple aggregation strategies for the power that fail in capturing the relational information existing among the different types of user. A possible alternative, known as Cluster-based Aggregate Forecasting, consists in clustering the load profiles and, on top of that, building predictors of the aggregate at the cluster-level. In this work we explore the technique in the context of predictors based on deep recurrent neural networks and address the scalability issues presenting neural architectures adequate to process cluster-level aggregates. The proposed methods are finally evaluated both on a publicly available benchmark and a heterogenous dataset of Smart Meter data from an entire, medium-sized, Swiss town
Spatio-Temporal Graph Neural Networks for Aggregate Load Forecasting
No full textAccurate forecasting of electricity demand is a core component of the modern electricity infrastructure. Several approaches exist that tackle this problem by exploiting modern deep learning tools. However, most previous works focus on predicting the total load as a univariate time series forecasting task, ignoring all fine-grained information captured by the smart meters distributed across the power grid. We introduce a methodology to account for this information in the graph neural network framework. In particular, we consider spatio-temporal graphs where each node is associated with the aggregate load of a cluster of smart meters, and a global graph-level attribute indicates the total load on the grid. We propose two novel spatio-temporal graph neural network models to process this representation and take advantage of both the finer-grained information and the relationships existing between the different clusters of meters. We compare these models on a widely used, openly available, benchmark against a competitive baseline which only accounts for the total load profile. Within these settings, we show that the proposed methodology improves forecasting accuracy
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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