Cantitate/Preț
Produs

Non-intrusive Load Monitoring: Theory, Technologies and Applications

Autor Hui Liu
en Limba Engleză Paperback – 2 ian 2021
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.

Citește tot Restrânge

Toate formatele și edițiile

Toate formatele și edițiile Preț Express
Paperback (1) 60646 lei  6-8 săpt.
  Springer Nature Singapore – 2 ian 2021 60646 lei  6-8 săpt.
Hardback (1) 61234 lei  6-8 săpt.
  Springer Nature Singapore – 2 ian 2020 61234 lei  6-8 săpt.

Preț: 60646 lei

Preț vechi: 71349 lei
-15% Nou

Puncte Express: 910

Preț estimativ în valută:
11616 12593$ 9656£

Carte tipărită la comandă

Livrare economică 02-16 decembrie

Preluare comenzi: 021 569.72.76

Specificații

ISBN-13: 9789811518621
ISBN-10: 9811518629
Ilustrații: XIV, 277 p. 178 illus., 20 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.41 kg
Ediția:1st ed. 2020
Editura: Springer Nature Singapore
Colecția Springer
Locul publicării:Singapore, Singapore

Cuprins

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.

Notă biografică

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.


Textul de pe ultima copertă

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.


Caracteristici

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