Non-intrusive Load Monitoring: Theory, Technologies and Applications

Author:   Hui Liu
Publisher:   Springer Verlag, Singapore
Edition:   2020 ed.
ISBN:  

9789811518591


Pages:   277
Publication Date:   02 January 2020
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Non-intrusive Load Monitoring: Theory, Technologies and Applications


Overview

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.

Full Product Details

Author:   Hui Liu
Publisher:   Springer Verlag, Singapore
Imprint:   Springer Verlag, Singapore
Edition:   2020 ed.
Weight:   0.606kg
ISBN:  

9789811518591


ISBN 10:   9811518599
Pages:   277
Publication Date:   02 January 2020
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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.

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Author Information

Professor Hui Liu holds double Ph.D. degrees from both China and Germany. He served as the BMBF Junior Group Leader for Germany’s Ministry of Education & Research at the Institute of Automation, Faculty of Computer Science & Electrical Engineering, University of Rostock, Germany, from 2015 to 2016. He has published more than 50 international research papers in the fields of smart energy and green cities and holds 40 related patents as the first inventor. He has won many major research awards, including the Natural Science Research Award from the Ministry of Education of China in 2017 (second prize), the National Scientific and Technological Progress Award of China (first prize) in 2018, and the Scientific and Technology Award of the China Railway Society (first prize) in 2018. He currently serves as an associate editor of the journal Transportation Safety& Environment (Oxford University Press) and as a committee member for more than 20 international academic conferences.

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