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Titlebook: Machine Learning Approaches to Non-Intrusive Load Monitoring; Roberto Bonfigli,Stefano Squartini Book 2020 The Author(s), under exclusive

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發(fā)表于 2025-3-21 17:07:53 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Machine Learning Approaches to Non-Intrusive Load Monitoring
編輯Roberto Bonfigli,Stefano Squartini
視頻videohttp://file.papertrans.cn/621/620389/620389.mp4
叢書名稱SpringerBriefs in Energy
圖書封面Titlebook: Machine Learning Approaches to Non-Intrusive Load Monitoring;  Roberto Bonfigli,Stefano Squartini Book 2020 The Author(s), under exclusive
描述Research on Smart Grids has recently focused on the energy monitoring issue, with the objective of maximizing the user consumption awareness in building contexts on the one hand, and providing utilities with a detailed description of customer habits on the other. In particular, .Non-Intrusive Load Monitoring (NILM)., the subject of this book, .represents one of the hottest topics in Smart Grid applications.. NILM refers to those techniques aimed at decomposing the consumption-aggregated data acquired at a single point of measurement into the diverse consumption profiles of appliances operating in the electrical system under study.?.This book provides a status report on the most promising NILM methods, with an overview of the publically available dataset on which the algorithm and experiments are based. Of the proposed methods, those based on the Hidden Markov Model (HMM) and the Deep Neural Network (DNN) are the best performing and most interesting from the future improvement point of view.. One method from each category has been selected and the performance improvements achieved are described. Comparisons are made between the two reference techniques, and pros and cons are conside
出版日期Book 2020
關(guān)鍵詞Smart Grid; Non-Intrusive Load Monitoring (NILM); Deep Neural Network (DNN); Factorial Hidden Markov Mo
版次1
doihttps://doi.org/10.1007/978-3-030-30782-0
isbn_softcover978-3-030-30781-3
isbn_ebook978-3-030-30782-0Series ISSN 2191-5520 Series E-ISSN 2191-5539
issn_series 2191-5520
copyrightThe Author(s), under exclusive license to Springer Nature Switzerland AG 2020
The information of publication is updating

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Roberto Bonfigli,Stefano Squartiniinnen konfrontiert, den die Planerinnen selbst hervorgerufen hatten. In ihren Augen war die ifu ein Vorgriff auf eine allgemeine Hochschulreform und in dieser Hinsicht als Pionierleistung für ?eine andere Universit?t“ zu sehen. Von den vielf?ltigen Zielen wurde der Hochschulreformcharakter, die Abse
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Roberto Bonfigli,Stefano Squartinichungsergebnisse zum Diskurs um Lernen und Lehren in DiffereLehren und Lernen findet innerhalb gesellschaftlicher Verh?ltnisse statt, die von Differenzordnungen gepr?gt sind und oft unter den Labels Diversity, Heterogenit?t und Inklusion diskutiert werden. Die entlang von Markierungen wie etwa?.race
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