Language:
English
繁體中文
Help
回圖書館首頁
手機版館藏查詢
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Non-intrusive load monitoring = theo...
~
Liu, Hui.
Linked to FindBook
Google Book
Amazon
博客來
Non-intrusive load monitoring = theory, technologies and applications /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Non-intrusive load monitoring/ by 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.
[NT 15003449]:
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.
Contained By:
Springer eBooks
Subject:
Electric power systems - Load dispatching. -
Online resource:
https://doi.org/10.1007/978-981-15-1860-7
ISBN:
9789811518607
Non-intrusive load monitoring = theory, technologies and applications /
Liu, Hui.
Non-intrusive load monitoring
theory, 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
Standard No.: 10.1007/978-981-15-1860-7doiSubjects--Topical Terms:
1558465
Electric power systems
--Load dispatching.
LC Class. No.: TK1005 / .L584 2020
Dewey Class. No.: 621.31
Non-intrusive load monitoring = theory, technologies and applications /
LDR
:02297nmm a2200325 a 4500
001
2215101
003
DE-He213
005
20200514171049.0
006
m d
007
cr nn 008maaau
008
201119s2020 si s 0 eng d
020
$a
9789811518607
$q
(electronic bk.)
020
$a
9789811518591
$q
(paper)
024
7
$a
10.1007/978-981-15-1860-7
$2
doi
035
$a
978-981-15-1860-7
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
TK1005
$b
.L584 2020
072
7
$a
TH
$2
bicssc
072
7
$a
TEC031000
$2
bisacsh
072
7
$a
TH
$2
thema
082
0 4
$a
621.31
$2
23
090
$a
TK1005
$b
.L783 2020
100
1
$a
Liu, Hui.
$3
803598
245
1 0
$a
Non-intrusive load monitoring
$h
[electronic resource] :
$b
theory, technologies and applications /
$c
by Hui Liu.
260
$a
Singapore :
$b
Springer Singapore :
$b
Imprint: Springer,
$c
2020.
300
$a
xiv, 277 p. :
$b
ill., digital ;
$c
24 cm.
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.
650
0
$a
Electric power systems
$x
Load dispatching.
$3
1558465
650
1 4
$a
Energy Efficiency.
$3
2209987
650
2 4
$a
Artificial Intelligence.
$3
769149
650
2 4
$a
Power Electronics, Electrical Machines and Networks.
$3
1001796
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer eBooks
856
4 0
$u
https://doi.org/10.1007/978-981-15-1860-7
950
$a
Energy (Springer-40367)
based on 0 review(s)
Location:
ALL
電子資源
Year:
Volume Number:
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
W9390009
電子資源
11.線上閱覽_V
電子書
EB TK1005 .L584 2020
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login