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
切換:
標籤
|
MARC模式
|
ISBD
International Scientific Conference ...
~
International Scientific Conference Energy Management of Municipal Facilities and Sustainable Energy Technologies ((2019 :)
FindBook
Google Book
Amazon
博客來
International Scientific Conference Energy Management of Municipal Facilities and Sustainable Energy Technologies EMMFT 2019.. Volume 2
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
International Scientific Conference Energy Management of Municipal Facilities and Sustainable Energy Technologies EMMFT 2019./ edited by Vera Murgul, Viktor Pukhkal.
其他題名:
EMMFT 2019
其他作者:
Murgul, Vera.
團體作者:
International Scientific Conference Energy Management of Municipal Facilities and Sustainable Energy Technologies
出版者:
Cham :Springer International Publishing : : 2021.,
面頁冊數:
xvii, 723 p. :ill., digital ;24 cm.
內容註:
Identification of Telltale Signature by Using Method of Adaptive Neuro-Fuzzy Systems -- Hierarchical Quasi-Neural Network Data Aggregation to Build a University Research and Innovation Management System -- Formalization of Ternary Logic for Application to Digital Signal Processing -- Neural Network Modeling Methods in the Analysis of the Processing Plant's Indicators -- Safety Management Technology of Electric Networks Using Geo Information System -- Vladikavkaz City Seismological Network Database -- Regional Attenuation Relationships: Regression VS Neural Network Analysis -- Use of Neural Networks to Assess Competitiveness of Organizations -- Methods of Didactic Design in E-learning Sphere Based on Mind Maps -- Internal Control of Efficiency of Use of Budgetary Funds.
Contained By:
Springer Nature eBook
標題:
Renewable energy sources - Congresses. -
電子資源:
https://doi.org/10.1007/978-3-030-57453-6
ISBN:
9783030574536
International Scientific Conference Energy Management of Municipal Facilities and Sustainable Energy Technologies EMMFT 2019.. Volume 2
International Scientific Conference Energy Management of Municipal Facilities and Sustainable Energy Technologies EMMFT 2019.
Volume 2[electronic resource] /EMMFT 2019edited by Vera Murgul, Viktor Pukhkal. - Cham :Springer International Publishing :2021. - xvii, 723 p. :ill., digital ;24 cm. - Advances in intelligent systems and computing,v.12592194-5357 ;. - Advances in intelligent systems and computing ;v.1259..
Identification of Telltale Signature by Using Method of Adaptive Neuro-Fuzzy Systems -- Hierarchical Quasi-Neural Network Data Aggregation to Build a University Research and Innovation Management System -- Formalization of Ternary Logic for Application to Digital Signal Processing -- Neural Network Modeling Methods in the Analysis of the Processing Plant's Indicators -- Safety Management Technology of Electric Networks Using Geo Information System -- Vladikavkaz City Seismological Network Database -- Regional Attenuation Relationships: Regression VS Neural Network Analysis -- Use of Neural Networks to Assess Competitiveness of Organizations -- Methods of Didactic Design in E-learning Sphere Based on Mind Maps -- Internal Control of Efficiency of Use of Budgetary Funds.
This book is intended to assist to improve energy efficiency in the industrial sector. The book offers case studies for industrial energy efficiency improvement and contains brief reports on cutting-edge research in all fields of the energy industry. This book, which is composed of select research proceedings of the EMMFT 2019 conference, covers such issues as: good quality energy use, energy generation technologies, materials used for energy generation, and storage technologies, as well as materials for water purification, petroleum engineering, and digital energy systems. The case studies discussed comprise the use of fossil fuel and non-fossil fuel energy resources, novel materials with advanced heat transport or heat resistance, and energy digitalization. Coverage extends to all theoretical and applied aspects of the field. This book is an ideal resource for scientists and energy analysts, industrial practitioners, engineers, researchers, and postgraduate students working in the field of management and technology for improving energy efficiency in the industry. Also, the book is of interest to researchers, engineers, and laboratory personnel in the fields of power systems and smart grids.
ISBN: 9783030574536
Standard No.: 10.1007/978-3-030-57453-6doiSubjects--Topical Terms:
817070
Renewable energy sources
--Congresses.
LC Class. No.: TJ808 / .I57 2019
Dewey Class. No.: 621.042
International Scientific Conference Energy Management of Municipal Facilities and Sustainable Energy Technologies EMMFT 2019.. Volume 2
LDR
:03193nmm a2200349 a 4500
001
2235661
003
DE-He213
005
20200817135746.0
006
m d
007
cr nn 008maaau
008
211111s2021 sz s 0 eng d
020
$a
9783030574536
$q
(electronic bk.)
020
$a
9783030574529
$q
(paper)
024
7
$a
10.1007/978-3-030-57453-6
$2
doi
035
$a
978-3-030-57453-6
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
TJ808
$b
.I57 2019
072
7
$a
UYQ
$2
bicssc
072
7
$a
TEC009000
$2
bisacsh
072
7
$a
UYQ
$2
thema
082
0 4
$a
621.042
$2
23
090
$a
TJ808
$b
.I61 2019
111
2
$a
International Scientific Conference Energy Management of Municipal Facilities and Sustainable Energy Technologies
$d
(2019 :
$c
Voronezh, Russia)
$3
3486339
245
1 0
$a
International Scientific Conference Energy Management of Municipal Facilities and Sustainable Energy Technologies EMMFT 2019.
$n
Volume 2
$h
[electronic resource] /
$c
edited by Vera Murgul, Viktor Pukhkal.
246
3
$a
EMMFT 2019
260
$a
Cham :
$b
Springer International Publishing :
$b
Imprint: Springer,
$c
2021.
300
$a
xvii, 723 p. :
$b
ill., digital ;
$c
24 cm.
490
1
$a
Advances in intelligent systems and computing,
$x
2194-5357 ;
$v
v.1259
505
0
$a
Identification of Telltale Signature by Using Method of Adaptive Neuro-Fuzzy Systems -- Hierarchical Quasi-Neural Network Data Aggregation to Build a University Research and Innovation Management System -- Formalization of Ternary Logic for Application to Digital Signal Processing -- Neural Network Modeling Methods in the Analysis of the Processing Plant's Indicators -- Safety Management Technology of Electric Networks Using Geo Information System -- Vladikavkaz City Seismological Network Database -- Regional Attenuation Relationships: Regression VS Neural Network Analysis -- Use of Neural Networks to Assess Competitiveness of Organizations -- Methods of Didactic Design in E-learning Sphere Based on Mind Maps -- Internal Control of Efficiency of Use of Budgetary Funds.
520
$a
This book is intended to assist to improve energy efficiency in the industrial sector. The book offers case studies for industrial energy efficiency improvement and contains brief reports on cutting-edge research in all fields of the energy industry. This book, which is composed of select research proceedings of the EMMFT 2019 conference, covers such issues as: good quality energy use, energy generation technologies, materials used for energy generation, and storage technologies, as well as materials for water purification, petroleum engineering, and digital energy systems. The case studies discussed comprise the use of fossil fuel and non-fossil fuel energy resources, novel materials with advanced heat transport or heat resistance, and energy digitalization. Coverage extends to all theoretical and applied aspects of the field. This book is an ideal resource for scientists and energy analysts, industrial practitioners, engineers, researchers, and postgraduate students working in the field of management and technology for improving energy efficiency in the industry. Also, the book is of interest to researchers, engineers, and laboratory personnel in the fields of power systems and smart grids.
650
0
$a
Renewable energy sources
$v
Congresses.
$3
817070
650
1 4
$a
Computational Intelligence.
$3
1001631
650
2 4
$a
Energy Policy, Economics and Management.
$3
1532761
700
1
$a
Murgul, Vera.
$3
3299745
700
1
$a
Pukhkal, Viktor.
$3
3486340
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer Nature eBook
830
0
$a
Advances in intelligent systems and computing ;
$v
v.1259.
$3
3486364
856
4 0
$u
https://doi.org/10.1007/978-3-030-57453-6
950
$a
Intelligent Technologies and Robotics (SpringerNature-42732)
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
W9397546
電子資源
11.線上閱覽_V
電子書
EB TJ808 .I57 2019
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