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Non-intrusive load monitoringtheory,...

Liu, Hui.

Non-intrusive load monitoringtheory, technologies and applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Non-intrusive load monitoringby Hui Liu.
Reminder of title:	theory, technologies and applications /
Author:	Liu, Hui.
Published:	Singapore :Springer Singapore :2020.
Description:	xiv, 277 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Electric power systemsLoad dispatching.
Online resource:	https://doi.org/10.1007/978-981-15-1860-7
ISBN:	9789811518607$q(electronic bk.)

Non-intrusive load monitoringtheory, technologies and applications /
Liu, Hui.

Non-intrusive load monitoringtheory, technologies and applications /[electronic resource] :by Hui Liu. - Singapore :Springer Singapore :2020. - xiv, 277 p. :ill., digital ;24 cm.

Introduction -- Detection of Transient Events in Time Series -- Appliance Signature Extraction -- Appliance Identification Based on Template Matching -- Steady State Current Decomposition Based Appliance Identification -- Machine Learning Based Appliance Identification -- Hidden Markov Models Based Appliance Identification -- Deep Learning Based Appliance Identification -- Deterministic Prediction of Electric Load Time Series -- Interval Prediction of Electric Load Time Series.

Focusing on non-intrusive load monitoring techniques in the area of smart grids and smart buildings, this book presents a thorough introduction to related basic principles, while also proposing improvements. As the basis of demand-side energy management, the non-intrusive load monitoring techniques are highly promising in terms of their energy-saving and carbon emission reduction potential. The book is structured clearly and written concisely. It introduces each aspect of these techniques with a number of examples, helping readers to understand and use the corresponding results. It provides latest strengths on the non-intrusive load monitoring techniques for engineers and managers of relevant departments. It also offers extensive information and a source of inspiration for researchers and students, while outlining future research directions.

ISBN: 9789811518607$q(electronic bk.)

Standard No.: 10.1007/978-981-15-1860-7doiSubjects--Topical Terms:

190512
Electric power systems
--Load dispatching.

LC Class. No.: TK1005 / .L584 2020

Dewey Class. No.: 621.31

Non-intrusive load monitoringtheory, technologies and applications /
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505 0 $a Introduction -- Detection of Transient Events in Time Series -- Appliance Signature Extraction -- Appliance Identification Based on Template Matching -- Steady State Current Decomposition Based Appliance Identification -- Machine Learning Based Appliance Identification -- Hidden Markov Models Based Appliance Identification -- Deep Learning Based Appliance Identification -- Deterministic Prediction of Electric Load Time Series -- Interval Prediction of Electric Load Time Series.
520 $a Focusing on non-intrusive load monitoring techniques in the area of smart grids and smart buildings, this book presents a thorough introduction to related basic principles, while also proposing improvements. As the basis of demand-side energy management, the non-intrusive load monitoring techniques are highly promising in terms of their energy-saving and carbon emission reduction potential. The book is structured clearly and written concisely. It introduces each aspect of these techniques with a number of examples, helping readers to understand and use the corresponding results. It provides latest strengths on the non-intrusive load monitoring techniques for engineers and managers of relevant departments. It also offers extensive information and a source of inspiration for researchers and students, while outlining future research directions.
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