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[null,"1.","Record Nr.",null,"UNINA9910707679303321"]
[null,null,"Titolo",null,"Generic environmental impact statement for license renewal of nuclear plants . Supplement 14 Regarding R.E. Ginna Nuclear Power Plant; final report"]
[null,null,"Pubbl/distr/stampa",null,"Washington, DC : , : Division of Regulatory Improvement Programs, Office of Nuclear Reactor Regulation, U.S. Nuclear Regulatory Commission, , January 2004"]
[null,null,"Descrizione fisica",null,"1 online resource (various pagings) : illustrations, maps"]
[null,null,"Soggetti",null,"Nuclear power plants - Licenses - New York (State)"]
[{"$nulls":4},"Nuclear power plants - Environmental aspects - New York (State)"]
[{"$nulls":4},"Nuclear power plants - Law and legislation - New York (State)"]
[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","Title from title screen (viewed on Sept. 16, 2016)."]
[{"$nulls":4},"\"NUREG-1437, supplement 14.\""]
[{"$nulls":4},"\"Manuscript completed: December 2003; date published: January 2004.\""]
[{"$nulls":4},"\"Docket number 50-244\"--Bibliographic data sheet."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,"2.","Record Nr.",null,"UNINA9910404078103321"]
[null,null,"Autore",null,"Lytras Miltiadis"]
[null,null,"Titolo",null,"Artificial Intelligence for Smart and Sustainable Energy Systems and Applications"]
[null,null,"Pubbl/distr/stampa",null,"MDPI - Multidisciplinary Digital Publishing Institute, 2020"]
[null,null,"ISBN",null,"3-03928-890-3"]
[null,null,"Descrizione fisica",null,"1 online resource (258 p.)"]
[null,null,"Soggetti",null,"History of engineering and technology"]
[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","Energy has been a crucial element for human beings and sustainable development. The issues of global warming and non-green energy have yet to be resolved. This book is a collection of twelve articles that provide strong evidence for the success of artificial intelligence deployment in energy research, particularly research devoted to non-intrusive load monitoring, network, and grid, as well as other emerging topics. The presented artificial intelligence algorithms may provide insight into how to apply similar approaches, subject to fine-tuning and customization, to other unexplored energy research. The ultimate goal is to fully apply artificial intelligence to the energy sector. This book may serve as a guide for professionals, researchers, and data scientists-namely, how to share opinions and exchange ideas so as to facilitate a better fusion of energy, academic, and industry research, and improve in the quality of people's daily life activities."]