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[null,"1.","Record Nr.",null,"UNINA9910456049803321"]
[null,null,"Titolo",null,"Placing children in special education [[electronic resource] ] : a strategy for equity / / Panel on Selection and Placement of Students in Programs for the Mentally Retarded, Committee on Child Development Research and Public Policy, Commission on Behavioral and Social Sciences and Education, National Research Council ; Kirby A. Heller, Wayne H. Holtzman, and Samuel Messick, editors"]
[null,null,"Pubbl/distr/stampa",null,"Washington, D.C., : National Academy Press, 1982"]
[null,null,"ISBN",null,"1-280-24615-4"]
[{"$nulls":4},"9786610246151"]
[{"$nulls":4},"0-309-55427-6"]
[{"$nulls":4},"0-585-14462-1"]
[null,null,"Descrizione fisica",null,"1 online resource (394 p.)"]
[null,null,"Disciplina",null,"371.92/8"]
[null,null,"Soggetti",null,"Children with mental disabilities - Education"]
[{"$nulls":4},"Students - Rating of"]
[{"$nulls":4},"Educational tests and measurements"]
[{"$nulls":4},"Electronic books."]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,"2.","Record Nr.",null,"UNISALENTO991003658049707536"]
[null,null,"Autore",null,"De Angelis, Laura"]
[null,null,"Titolo",null,"I notai fiorentini dell'età di Dante"]
[null,null,"Pubbl/distr/stampa",null,"Firenze : Università ; Pisa : Giardini, 1983-1984"]
[null,null,"Descrizione fisica",null,"2 v. ; 25 cm."]
[null,null,"Collana",null,"Fonti di storia medioevale e umanistica"]
[null,null,"Soggetti",null,"Atti notarili - Firenze"]
[{"$nulls":4},"Firenze - Fonti notarili"]
[null,null,"Lingua di pubblicazione",null,"Italiano"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Biagio Boccadibue, 1298-1314."]
[{"$nulls":4},"1,2-3 / a cura di Laura De Angelis, Elisabetta Gigli, Franek Sznura. - In testa al front.: Università degli studi di Firenze."]
[null,"3.","Record Nr.",null,"UNINA9910557603203321"]
[null,null,"Autore",null,"Herodotou Herodotos"]
[null,null,"Titolo",null,"Data-Intensive Computing in Smart Microgrids"]
[null,null,"Pubbl/distr/stampa",null,"Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021"]
[null,null,"Descrizione fisica",null,"1 online resource (238 p.)"]
[null,null,"Soggetti",null,"Technology: general issues"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Sommario/riassunto","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-world applications of data-intensive analytics in smart grids and contribute to the dissemination of new ideas in this area."]