×
验证码:
换一张
Forgotten Password?
Stay signed in
Login With UMPASS
English
|
繁體
Login With UMPASS
Log In
ALL
ORCID
TI
AU
PY
SU
KW
TY
JN
DA
IN
PB
FP
ST
SM
Study Hall
Home
Faculties & Institutes
Scholars
Publications
Subjects
Statistics
News
Search in the results
Faculties & Institutes
Faculty of Scien... [1]
Authors
SONG YONGHUA [1]
Document Type
Journal article [1]
Date Issued
2018 [1]
Language
英語English [1]
Source Publication
Applied Energy [1]
Indexed By
SCIE [1]
Funding Organization
Funding Project
×
Knowledge Map
UM
Start a Submission
Submissions
Unclaimed
Claimed
Attach Fulltext
Bookmarks
Browse/Search Results:
1-1 of 1
Help
Selected(
0
)
Clear
Items/Page:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
Sort:
Select
Journal Impact Factor Ascending
Journal Impact Factor Descending
Issue Date Ascending
Issue Date Descending
Submit date Ascending
Submit date Descending
WOS Cited Times Ascending
WOS Cited Times Descending
Title Ascending
Title Descending
Author Ascending
Author Descending
A data driven multi-state model for distribution system flexible planning utilizing hierarchical parallel computing
Journal article
Ye,Chengjin, Ding,Yi, Song,Yonghua, Lin,Zhenzhi, Wang,Lei. A data driven multi-state model for distribution system flexible planning utilizing hierarchical parallel computing[J]. Applied Energy, 2018, 232, 9-25.
Authors:
Ye,Chengjin
;
Ding,Yi
;
Song,Yonghua
;
Lin,Zhenzhi
;
Wang,Lei
Favorite
|
TC[WOS]:
10
TC[Scopus]:
19
IF:
10.1
/
10.4
|
Submit date：2021/03/09
Data-driven
Distribution System
Expected Cost
Flexibility
Multi-state Model
Parallel Computing
