1,720,953 research outputs found
Application of deep learning in thermal load forecasting and data-driven supply optimization of a district heating network
No full textLAUREA MAGISTRALENella presente tesi vengono proposte e implementate metodologie basate su datiper ridurre il consumo energetico del sistema di teleriscaldamento di un complessoospedaliero. A questo scopo, vengono dapprima applicate procedure di feature gen-eration sui valori storici dei consumi misurati e sui corrispondenti dati climatici,al fine di generare un dataset completo. Le pipeline guidate da dati vengono poisviluppate e messe a punto per previsione del carico termico di ogni edificio alimen-tato dal sistema di teleriscaldamento. Vengono utilizzati algoritmi di Deep Learninge in particolare le reti neurali ricorrenti (RNN), che sono progettate per funzionaresu dati sequenziali o su serie temporali. L’algoritmo della memoria a breve terminea lungo termine (LSTM) `e specificamente utilizzato come l’alternativa pi`u promet-tente; una scelta motivata dalla sua capacit`a di superare il problema della scomparsadei gradienti dello standard RNNs quando si tratta di dipendenze a lungo termine.Diversi modelli addestrati, vengono poi confrontati in base all’accuratezza delle pre-visioni, alla complessit`a e ai costi di calcolo. Vengono quindi determinate le pipelinedi previsione ottimale, compresi i parametri pi`u promettenti ottenuti, il che portaad un’elevata precisione di previsione.I carichi termici previsti vengono poi alimentati ai modelli implementati basatisu dati degli scambiatori di calore degli edifici, che possono cos`ı stimare la temper-atura di ritorno dell’acqua primaria risultante per qualsiasi temperatura dell’acquadi alimentazione. Utilizzando questi modelli, viene eseguita una procedura di ot-timizzazione su base oraria in grado di determinare la temperatura ottimale di man-data che riduce al minimo la temperatura di ritorno complessiva. La conseguenteriduzione della temperatura media dell’acqua primaria della rete, rispetto alle co-muni strategie di controllo basate sulla temperatura esterna, porta ad una notevoleriduzione delle perdite di distribuzione. Il progetto `e stato condotto nell’ambito diuna collaborazione con Siram - By Veolia SpA (la societ`a di gestione energetica delcaso studio considerato) e Concordia Institute for Information Systems Engineering.In the present thesis, data-driven methodologies, aiming at reducing the energy consumption of a hospital complex's district heating system, are proposed and implemented. For this purpose, feature generation procedures are first applied to the historical measured consumption values and the corresponding climatic condition data in order to generate a comprehensive dataset. Data-driven pipelines are then developed and tuned for hour ahead prediction of the thermal load of each building that is fed by the district heating system. Deep Learning algorithms and in particular Recurrent neural networks (RNNs), which are designed to operate over sequential or time series data, are employed. Long short term memory (LSTM) algorithm is specifically utilized as the most promising alternative; a choice that is motivated by its capability of overcoming the vanishing gradients problem of the standard RNN when dealing with long term dependencies. Different trained models are then compared based on prediction accuracy, complexity and calculation cost. Optimal prediction pipeline including the determined most promising tuning parameters is then determined leading to an elevated forecasting accuracy.
The predicted thermal loads are then fed to the implemented data-driven models of the buildings' heat exchangers, which can thus estimate the resulting primary water's return temperature for any given supply water temperature. Employing these models, an optimization procedure is run in hourly manner which can determine the optimal supply temperature which minimizes the overall return temperature. The resulting reduction in the average temperature of primary water in the network, compared to commonly used outside temperature based control strategy, lead to a notable reduction in the distribution losses. The project is conducted in the context of a collaboration with Siram - by Veolia SpA (The energy management firm of the considered case study) and Concordia Institute for Information Systems Engineering
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
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
Author Under Sail The Imagination of Jack London, 1893-1902
No full textIn Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Intro -- Title Page -- Copyright Page -- Dedication -- Contents -- Acknowledgments -- Introduction -- 1. Spirit Truth -- 2. From Absorption to Theatricality and Back Again -- 3. "I Will Build a New Present" -- 4. Sons as Authors -- 5. Fathers as Publishers -- 6. The Daughter as Author -- 7. Lovers as Authors -- 8. At Sea with the Family -- 9. Yellow News, Yellow Stories -- 10. The Return Home -- Notes -- Bibliography -- Index -- About Jay WilliamsIn Author Under Sail, Jay Williams offers the first complete literary biography of Jack London as a professional writer engaged in the labor of writing. It examines the authorial imagination in London's work, the use of imagination in both his fiction and nonfiction, and the ways he defined imagination in the creative process in his business dealings with his publishers, editors, and agents. In this first volume of a two-volume biography, Williams traverses the years 1893 to 1902, from London's "Story of a Typhoon" to The People of the Abyss. The Jack London who emerges in the pages of Author Under Sail is a writer whose partnership with publishers, most notably his productive alliance with George Brett of Macmillan, was one of the most formative in American literary history. London pioneered many author models during the heyday of realism and naturalism, blurring the boundaries of these popular genres by focusing on absorption and theatricality and the representation of the seen and unseen. London created an impassioned, sincere, and extremely personal realism unlike that of other American writers of the time. Author Under Sail is a literary tour de force that reveals the full range of London as writer, creative citizen, and entrepreneur at the same time it sheds light on the maverick side of machine-age literature.Description based on publisher supplied metadata and other sources.Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, YYYY. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries
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