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1. |
Record Nr. |
UNINA9910580238603321 |
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Autore |
Grandemange Jacques |
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Titolo |
Les mines d’argent du duché de Lorraine au XVIe siècle : Histoire et archéologie du Val de Lièpvre (Haut-Rhin) / / Jacques Grandemange |
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Pubbl/distr/stampa |
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Paris, : Éditions de la Maison des sciences de l’homme, 2021 |
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ISBN |
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Descrizione fisica |
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1 online resource (117 p.) |
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Collana |
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Documents d’archéologie française |
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Soggetti |
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Archaeology |
mine |
métal |
argent |
Haut-Rhin |
Val de Lièpvre |
duché de Lorraine |
Fontaine des Chouettes |
erbstoll |
aérage |
technique minière |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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La confrontation des données recueillies à partir de sources documentaires aussi différentes que des archives comptables et les vestiges archéologiques d’un système minier, constitue la clef de voûte de cet ouvrage consacré aux Documents d’Archéologie Française mines d’argent du duc de Lorraine dans le Val de Lièpvre entre 1512 et 1628 (Haut-Rhin). Cette démarche originale nous conduit, à travers le dédale d’un réseau complexe de galeries et de puits, vers la découverte non seulement d’une organisation spatiale rationnelle accompagnée de techniques de construction et d’exploitation spécifiques, mais également des conditions économiques et politiques ayant favorisé son développement. Alliant ainsi histoire et archéologie, cette recherche |
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représente pour la connaissance des mines et de ses techniques, un document d’une grande richesse d’informations à l’usage aussi bien des spécialistes que des néophytes. The juxtaposition of data from sources as widely differing as account-books and the archaeological remains of a mining System is the keystone of this work devoted to the bistory of the Duke of Lorraine’s silver mines in the Lièpvre Valley (Haut-Rhin) between 1512 and 1628. This original approach takes us through a labyrinth of shafts and galleries towards the discovery both of a rational spatial organization, using spécifie building and extraction techniques, and of the economic and political conditions which encouraged its development. This study, at the crossroads of bistory and archaeology, constituiez a precious source of informations both for specialists and for newcomers to the bistory of mining and its techniques. |
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2. |
Record Nr. |
UNINA9910557678803321 |
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Autore |
Sidorov Denis N |
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Titolo |
Machine Learning for Energy Systems |
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Pubbl/distr/stampa |
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
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Descrizione fisica |
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1 online resource (272 p.) |
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Soggetti |
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History of engineering and technology |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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This volume deals with recent advances in and applications of computational intelligence and advanced machine learning methods in power systems, heating and cooling systems, and gas transportation systems. The optimal coordinated dispatch of the multi-energy microgrids with renewable generation and storage control using advanced numerical methods is discussed. Forecasting models are designed for electrical insulator faults, the health of the battery, |
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electrical insulator faults, wind speed and power, PV output power and transformer oil test parameters. The loads balance algorithm for an offshore wind farm is proposed. The information security problems in the energy internet are analyzed and attacked using information transmission contemporary models, based on blockchain technology. This book will be of interest, not only to electrical engineers, but also to applied mathematicians who are looking for novel challenging problems to focus on. |
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