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Intelligent Energy Source Classifier NILM method in Machine Learning: ALGORITHMIC DATA EXTRACTION - Tapa blanda
Sinopsis
ILM method requires a group of sensors attached to each appliance to show information about the appliance load measurement used for functions of appliances load monitoring and classification. Connections of sensors and each appliance through smart plugs provide more accurate measurement than the NILM system. The drawback of the ILM is its cost, which is considered to be very high due to the installation complicity of due to the multiple sensor configurations. In the research, the ILM approach is used as middleware on Atlas and OSGi platforms which was implemented to detect a single appliance solution for the reduction of costs. This method can identify real-time controlling and monitoring of household status by detecting each appliance connected to its smart plug.
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Intelligent Energy Source Classifier NILM method in Machine Learning
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LAP LAMBERT Academic Publishing Aug 2021, 2021
ISBN 10: 6204184229
ISBN 13: 9786204184227
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -ILM method requires a group of sensors attached to each appliance to show information about the appliance load measurement used for functions of appliances load monitoring and classification. Connections of sensors and each appliance through smart plugs provide more accurate measurement than the NILM system. The drawback of the ILM is its cost, which is considered to be very high due to the installation complicity of due to the multiple sensor configurations. In the research, the ILM approach is used as middleware on Atlas and OSGi platforms which was implemented to detect a single appliance solution for the reduction of costs. This method can identify real-time controlling and monitoring of household status by detecting each appliance connected to its smart plug. 60 pp. Englisch. Nº de ref. del artículo: 9786204184227
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Intelligent Energy Source Classifier NILM method in Machine Learning : ALGORITHMIC DATA EXTRACTION
Publicado por
LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6204184229
ISBN 13: 9786204184227
Nuevo
Taschenbuch
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - ILM method requires a group of sensors attached to each appliance to show information about the appliance load measurement used for functions of appliances load monitoring and classification. Connections of sensors and each appliance through smart plugs provide more accurate measurement than the NILM system. The drawback of the ILM is its cost, which is considered to be very high due to the installation complicity of due to the multiple sensor configurations. In the research, the ILM approach is used as middleware on Atlas and OSGi platforms which was implemented to detect a single appliance solution for the reduction of costs. This method can identify real-time controlling and monitoring of household status by detecting each appliance connected to its smart plug. Nº de ref. del artículo: 9786204184227
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Intelligent Energy Source Classifier NILM method in Machine Learning
Publicado por
LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6204184229
ISBN 13: 9786204184227
Nuevo
Tapa blanda
Librería: moluna, Greven, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: UDAY KIRAN ELEMASETTYELEMASETTY UDAY KIRAN completed my Master s with publications of six patents followed by one circuit design in IPO Delhi.Including 11 Research papers and 2 research books.an awardee of the young scientist in the . Nº de ref. del artículo: 500660870
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Intelligent Energy Source Classifier NILM method in Machine Learning
Publicado por
LAP LAMBERT Academic Publishing Aug 2021, 2021
ISBN 10: 6204184229
ISBN 13: 9786204184227
Nuevo
Taschenbuch
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -ILM method requires a group of sensors attached to each appliance to show information about the appliance load measurement used for functions of appliances load monitoring and classification. Connections of sensors and each appliance through smart plugs provide more accurate measurement than the NILM system. The drawback of the ILM is its cost, which is considered to be very high due to the installation complicity of due to the multiple sensor configurations. In the research, the ILM approach is used as middleware on Atlas and OSGi platforms which was implemented to detect a single appliance solution for the reduction of costs. This method can identify real-time controlling and monitoring of household status by detecting each appliance connected to its smart plug.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 60 pp. Englisch. Nº de ref. del artículo: 9786204184227
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Intelligent Energy Source Classifier NILM method in Machine Learning | ALGORITHMIC DATA EXTRACTION
Publicado por
LAP LAMBERT Academic Publishing, 2021
ISBN 10: 6204184229
ISBN 13: 9786204184227
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Librería: preigu, Osnabrück, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Intelligent Energy Source Classifier NILM method in Machine Learning | ALGORITHMIC DATA EXTRACTION | Elemasetty Uday Kiran (u. a.) | Taschenbuch | Englisch | 2021 | LAP LAMBERT Academic Publishing | EAN 9786204184227 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Nº de ref. del artículo: 120495567
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