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Non-intrusive Load Monitoring Theory, Technologies and Applications

Liu Hui
Heftet / 2021 / Engelsk

Produktdetaljer

ISBN
9789811518621
Publisert
2021-01-02
Utgiver
Vendor
Springer Verlag, Singapore
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Research, P, UP, UU, 06, 05
Språk
Product language
Engelsk
Format
Product format
Heftet

Forfatter
Liu Hui

Biographical note

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.


Non-intrusive Load Monitoring Theory, Technologies and Applications

Liu Hui
Heftet / 2021 / Engelsk
Liu Hui
Heftet / 2021 / Engelsk
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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.
Les mer
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.
Les mer
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.
Les mer
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.
Les mer
Presents a detailed introduction to and comprehensive description of newly proposed non-intrusive load monitoring technologies for real electrical appliances in modern buildings Includes a wealth of real-world experiments involving the proposed non-intrusive load monitoring technologies Highlights the latest advances in deep learning/machine learning for the proposed non-intrusive load monitoring technologies
Les mer
GPSR Compliance The European Union's (EU) General Product Safety Regulation (GPSR) is a set of rules that requires consumer products to be safe and our obligations to ensure this. If you have any concerns about our products you can contact us on ProductSafety@springernature.com. In case Publisher is established outside the EU, the EU authorized representative is: Springer Nature Customer Service Center GmbH Europaplatz 3 69115 Heidelberg, Germany ProductSafety@springernature.com
Les mer

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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.
Les mer
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.
Les mer
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.
Les mer
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.
Les mer
Presents a detailed introduction to and comprehensive description of newly proposed non-intrusive load monitoring technologies for real electrical appliances in modern buildings Includes a wealth of real-world experiments involving the proposed non-intrusive load monitoring technologies Highlights the latest advances in deep learning/machine learning for the proposed non-intrusive load monitoring technologies
Les mer
GPSR Compliance The European Union's (EU) General Product Safety Regulation (GPSR) is a set of rules that requires consumer products to be safe and our obligations to ensure this. If you have any concerns about our products you can contact us on ProductSafety@springernature.com. In case Publisher is established outside the EU, the EU authorized representative is: Springer Nature Customer Service Center GmbH Europaplatz 3 69115 Heidelberg, Germany ProductSafety@springernature.com
Les mer

Produktdetaljer

ISBN
9789811518621
Publisert
2021-01-02
Utgiver
Vendor
Springer Verlag, Singapore
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Research, P, UP, UU, 06, 05
Språk
Product language
Engelsk
Format
Product format
Heftet

Forfatter
Liu Hui

Biographical note

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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