語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
到查詢結果
[ subject:"Power resources- Management." ]
切換:
標籤
|
MARC模式
|
ISBD
FindBook
Google Book
Amazon
博客來
Energy management = big data in power load forecasting /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Energy management/ Valentin A. Boicea.
其他題名:
big data in power load forecasting /
作者:
Boicea, Valentin A.
出版者:
Boca Raton, FL :CRC Press, : 2021.,
面頁冊數:
1 online resource (1 v.) :ill.
標題:
Power resources - Management. -
電子資源:
https://www.taylorfrancis.com/books/9781003147213
ISBN:
9781003147213
Energy management = big data in power load forecasting /
Boicea, Valentin A.
Energy management
big data in power load forecasting /[electronic resource] :Valentin A. Boicea. - 1st ed. - Boca Raton, FL :CRC Press,2021. - 1 online resource (1 v.) :ill.
Includes bibliographical references and index.
This book introduces the principle of carrying out a medium-term load forecast (MTLF) at power system level, based on the Big Data concept and Convolutionary Neural Network (CNNs). It also presents further research directions in the field of Deep Learning techniques and Big Data, as well as how these two concepts are used in power engineering. Efficient processing and accuracy of Big Data in the load forecast in power engineering leads to a significant improvement in the consumption pattern of the client and, implicitly, a better consumer awareness. At the same time, new energy services and new lines of business can be developed. The book will be of interest to electrical engineers, power engineers, and energy services professionals.
ISBN: 9781003147213Subjects--Topical Terms:
881350
Power resources
--Management.
LC Class. No.: TJ163.2
Dewey Class. No.: 621.042
Energy management = big data in power load forecasting /
LDR
:01804cmm a2200337 a 4500
001
2338521
003
FlBoTFG
005
20210722111624.0
006
m o d
007
cr cnu---unuuu
008
240605s2021 flu ob 001 0 eng d
020
$a
9781003147213
$q
(ebook)
020
$a
1003147216
$q
(ebook)
020
$a
9781000437683
$q
(ebook)
020
$a
100043768X
$q
(ebook)
020
$a
9781000437812
$q
(epub)
020
$a
1000437817
$q
(epub)
020
$z
9780367706166
$q
(hbk.)
020
$z
9780367706623
$q
(pbk.)
035
$a
9781003147213
040
$a
OCoLC-P
$b
eng
$c
OCoLC-P
041
0
$a
eng
050
4
$a
TJ163.2
082
0 4
$a
621.042
$2
23
100
1
$a
Boicea, Valentin A.
$3
3674526
245
1 0
$a
Energy management
$h
[electronic resource] :
$b
big data in power load forecasting /
$c
Valentin A. Boicea.
250
$a
1st ed.
260
$a
Boca Raton, FL :
$b
CRC Press,
$c
2021.
300
$a
1 online resource (1 v.) :
$b
ill.
504
$a
Includes bibliographical references and index.
520
$a
This book introduces the principle of carrying out a medium-term load forecast (MTLF) at power system level, based on the Big Data concept and Convolutionary Neural Network (CNNs). It also presents further research directions in the field of Deep Learning techniques and Big Data, as well as how these two concepts are used in power engineering. Efficient processing and accuracy of Big Data in the load forecast in power engineering leads to a significant improvement in the consumption pattern of the client and, implicitly, a better consumer awareness. At the same time, new energy services and new lines of business can be developed. The book will be of interest to electrical engineers, power engineers, and energy services professionals.
588
$a
Description based on print version record.
650
0
$a
Power resources
$x
Management.
$3
881350
650
0
$a
Power resources
$x
Forecasting.
$3
674702
650
0
$a
Big data.
$3
2045508
856
4 0
$u
https://www.taylorfrancis.com/books/9781003147213
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9463653
電子資源
11.線上閱覽_V
電子書
EB TJ163.2
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入