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1. |
Record Nr. |
UNISA996395468503316 |
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Autore |
Salnar |
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Titolo |
An harmony of the confessions of the faith of the Christian and Reformed Churches [[electronic resource] ] : which purelie professe the holy doctrine of the Gospell in all the chiefe kingdomes, nations, and prouinces of Europe: the catologue and order whereof the pages following will declare. There are added in the ende verie shorte notes: in which both the obscure thinges are made plaine, & those thinges which maie in shew seeme to be contrarie each to other, are plainelie and verie modestlie reconciled, and if anie points doe as yet hang in doubt, they are sincerelie pointed at. All which things, in the name of the Churches of Fraunce and Belgia, are submitted to the free and discrete iudgement of all other Churches. Newlie translated out of Latine into English. Also in the end is added the confession of the Church of Scotland. Alowed by publique authoritie |
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Pubbl/distr/stampa |
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[Cambridge], : Imprinted by Thomas Thomas, printer to the Vniuersitie of Cambridge, 1586 |
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Descrizione fisica |
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[36], 111, 202-593 [i.e. 609], [41]; 24, [4] p |
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Altri autori (Persone) |
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GoulartSimon <1543-1628.> |
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Soggetti |
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Creeds |
Protestant churches |
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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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Note generali |
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By Salnar, i.e. J.F. Salvart. |
A translation of: Harmonia confessionum fidei orthodoxarum & reformatarum ecclesiarum. |
With notes by Simon Goulart. |
"A general confession of the true Christian faith and religion .. At Edinborough", 24, [4] p. at end, has separate register. |
P. 609 misnumbered 593. |
Reproduction of the original in the Henry E. Huntington Library and Art Gallery. |
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Sommario/riassunto |
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2. |
Record Nr. |
UNINA9910557603203321 |
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Autore |
Herodotou Herodotos |
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Titolo |
Data-Intensive Computing in Smart Microgrids |
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Pubbl/distr/stampa |
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
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Descrizione fisica |
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1 online resource (238 p.) |
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Soggetti |
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Technology: general issues |
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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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Microgrids have recently emerged as the building block of a smart grid, combining distributed renewable energy sources, energy storage devices, and load management in order to improve power system reliability, enhance sustainable development, and reduce carbon emissions. At the same time, rapid advancements in sensor and metering technologies, wireless and network communication, as well as cloud and fog computing are leading to the collection and accumulation of large amounts of data (e.g., device status data, energy generation data, consumption data). The application of big data analysis techniques (e.g., forecasting, classification, clustering) on such data can optimize the power generation and operation in real time by accurately predicting electricity demands, discovering electricity consumption patterns, and developing dynamic pricing mechanisms. An efficient and intelligent analysis of the data will enable smart microgrids to detect and recover from failures quickly, respond to electricity demand swiftly, supply more reliable and economical energy, and enable customers to have more control over their energy use. Overall, data-intensive analytics can provide effective and efficient decision support for all of the producers, operators, customers, and regulators in smart microgrids, in order to achieve holistic smart energy management, including energy generation, transmission, distribution, and demand-side management. This book contains an assortment of relevant novel research contributions that provide real- |
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world applications of data-intensive analytics in smart grids and contribute to the dissemination of new ideas in this area. |
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