1,720,955 research outputs found
New predictive models based on ensemble and deep learning applied to the electric market
No full textPrograma de Doctorado en Biotecnología, Ingeniería y Tecnología Química
Línea de Investigación: Ingeniería, Ciencia de Datos y Bioinformática
Clave Programa: DBI
Código Línea: 111Accurately predicting future electricity demand ensures a reliable and sustainable energy supply. Electricity planners and policymakers utilize various tools and techniques to forecast the future of electricity, allowing them to assess needs and plan the development of new generation and transmission infrastructure. As electrical energy cannot be stored in large quantities, it is necessary to predict the amount needed. This thesis presents a novel prediction method that integrates multiple deep-learning techniques. Moreover, it has been presented as a compendium of publications comprising three main scientific contributions to international conferences and journals with high impact factors in the Journal Citation Reports.
The first approach is a stacking ensemble that combines three successful models in the field: Long Short-Term Memory (LSTM), Gated Recurrent Unit neural networks (GRU), and Temporal Convolutional Networks (TCN). The results of this study have been published in the Energy Journal. The second proposed approach is a bagging ensemble, which involves dividing the data into coherent subsets and implementing a deep-learning model for each subset. Two scientific articles were published as part of this research. A paper focusing on outlier handling was recently published in the Expert Systems With Applications journal. Another paper was presented at the International Conference on Soft Computing Models in Industrial and Environmental Applications (2021), addressing medium and long-term energy forecasting with hybrid models.
The results of all the proposed methods significantly improve the accuracy of electricity consumption prediction for the economic sector in Algeria. At the aggregate-level granularity, our approaches achieved a mean absolute percentage error (MAPE) of 2.04\%. Regarding individual-level granularity, the provided prediction by the developed models was considered very good by over 87\% of the customers. The contributions are significant on various levels, as they address an important issue in Algeria related to forecasting electricity consumption. Moreover, this work extends to economic, technical, and modeling aspects at various levels, making it a valuable contribution to energy management.Universidad Pablo de Olavide. Escuela de Doctorad
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Self-Maintainable Views Group in P2P Environment
Get PDFPeer-to-Peer environment is gradually more popular for sharing data for distributed applications. Peer-to-peer makes these applications more reliable, efficient, available and scalable. Also, materialized views which are derived from base relations are often used to speed up query processing and data sharing. In this paper, we are interested in materialized view maintenance in P2P environment; we propose a new approach which uses some characteristics of views in such system. Our maintenance approach consists to create virtual groups of peers. Groups will contain views that sharing maximum of common data sources, then, we will associate at each group a set of auxiliary views which will be stored in a peer chosen by our algorithm, it will be the group center. The auxiliary views set will allow the group to be self-maintainable. Then, we propose a view maintenance algorithm based on two steps, notification of modifications and computing & sending of view updates. Finally simulation experiments implemented with java, show that both maintenance cost and total message number are reduced using our approach, we compared group maintenance cost in various situations in order to find the optimal conditions that our proposal is more efficient. 
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe 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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