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    Configuration des systèmes énergétiques hybrides: une approche par l’apprentissage profond

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    Cette thèse se structure en trois étapes majeures, appuyées par deux communications préliminaires en conférence et quatre articles scientifiques, afin d’aborder le dimensionnement et la gestion des systèmes hybrides d’énergie renouvelable (HRES) sous les angles de la réduction de la complexité, de l’optimisation de la prévision climatique et de l’intelligence décisionnelle adaptative. Dans la première communication, l’analyse portait sur l’influence des paramètres économiques (coût du capital, d’installation et d’exploitation) et des facteurs contextuels (profil de charge, ressources renouvelables locales, tarifs d’achat) sur la conception de micro-grids, révélant le compromis essentiel entre rentabilité et fiabilité. Sur ces fondations, une méthode hybride combinant l’algorithme Branch & Bound et le k-Nearest Neighbors pour élaguer l’arbre des configurations PV+WT+BESS+DG sous Simulink a été proposée. À partir d’un jeu de données météorologiques synthétiques et de profils de charge, 5 390 configurations ont été générées, caractérisées par des vecteurs de temps de charge, de production prédictive et de taux de pénétration, puis filtrées par Branch & Bound pour sélectionner un sous-ensemble initial. Un algorithme kNN a ensuite classifié les configurations restantes selon leur similarité, éliminant les branches non prometteuses. Cette démarche a conduit à une réduction de 45 % à 95 % du temps de simulation, tout en maintenant plus de 83 % de précision dans l’identification de la topologie optimale. La seconde communication présentait un prototype simplifié couplant un algorithme génétique avec un modèle LSTM pour la prévision de l’irradiance solaire (GHI), démontrant la faisabilité de l’association de la modélisation statistique et du calcul évolutif. De ce constat, les travaux se sont concentrées sur la prévision du GHI via une fouille d’architecture neuronale (NAS) améliorée par le transfert d’apprentissage (TL), l’adaptation dynamique de l’espace de recherche (DSS) et extrapolation de courbe d’apprentissage. Plus d’une centaine d’architectures candidates, chacune définie par plusieurs hyperparamètres (nombre de couches, taille de noyau, taux d’apprentissage, etc.), ont été explorées. Le DSS ajuste dynamiquement l’espace de fouille en fonction de la distribution des erreurs observées, permettant un abandon anticipé des architectures coûteuses. Pendant ce temps, l’extrapolation de courbe d’apprentissage stoppe précocement les réseaux à faible convergence. Comparée à des approches classiques (GA, PSO, DE, ABC), cette stratégie a réduit jusqu’à 89 % la durée du NAS et amélioré la précision des prévisions de GHI de 33 % à 99 % en RMSE sur des horizons de 6 à 72 heures. La dernière partie de ces travaux introduit un cadre complet de dimensionnement adaptatif et de pilotage multicritère basé sur l’apprentissage par renforcement profond (DRL). L’espace d’état intègre le niveau de charge de batterie, l’irradiance et la vitesse du vent prédites, ainsi que les niveaux de production en cours, tandis que l’espace d’action couvre la régulation des puissances attribuées aux panneaux photovoltaïques, aux éoliennes, à la batterie et au générateur diesel ou au réseau. L’algorithme Twin Delayed Deep Deterministic (TD3) assure stabilité et exploration efficace. La fonction de récompense cumulative combine le coût actualisé de l’énergie (LCOE), la fraction d’énergie renouvelable (REF) et la probabilité de perte d’alimentation électrique (LPSP), en intégrant une pénalisation de l’usage des sources fossiles. Appliquée à des profils de consommation réels du NREL, cette approche réduit le LCOE de 21 % à +30 %, accroît la part d’énergie renouvelable de +86 % et diminue la probabilité de perte de charge de 8,9 %, avec des performances maximales de 19,7 % de LCOE, +86 % de REF et 8,9 % de LPSP, surpassant NSGA-II et MOPSO sur la plupart des indicateurs. Ensemble, ces contributions illustrent la valeur d’une démarche progressive allant de la réduction de la complexité de simulation à l’intelligence décisionnelle adaptative. L’objectif étant de définir un cadre de conception des micro réseaux et intelligents de nouvelle génération, résilients, performants et respectueux de l’environnement

    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

    Dispelling the Myths Behind First-author Citation Counts

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    We 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

    Author Index

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    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    We 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 Under Sail The Imagination of Jack London, 1893-1902

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    In 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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