×
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
Image search
Paste the image URL
Home
Faculties & Institutes
Scholars
Publications
Subjects
Statistics
News
Search in the results
Faculties & Institutes
THE STATE KEY LA... [3]
Faculty of Scien... [2]
Authors
ZHANG HONGCAI [2]
SONG YONGHUA [1]
DAI NINGYI [1]
Document Type
Journal article [2]
Review article [1]
Date Issued
2021 [1]
2020 [2]
Language
英語English [3]
Source Publication
Energy [1]
Journal of Clean... [1]
Sustainable Citi... [1]
Indexed By
SCIE [3]
SSCI [3]
Funding Organization
Funding Project
×
Knowledge Map
UM
Start a Submission
Submissions
Unclaimed
Claimed
Attach Fulltext
Bookmarks
Browse/Search Results:
1-3 of 3
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
Issue Date Ascending
Issue Date Descending
Journal Impact Factor Ascending
Journal Impact Factor Descending
WOS Cited Times Ascending
WOS Cited Times Descending
Submit date Ascending
Submit date Descending
Title Ascending
Title Descending
Author Ascending
Author Descending
Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities
Journal article
Ahmad,Tanveer, Zhang,Dongdong, Huang,Chao, Zhang,Hongcai, Dai,Ningyi, Song,Yonghua, Chen,Huanxin. Artificial intelligence in sustainable energy industry: Status Quo, challenges and opportunities[J]. Journal of Cleaner Production, 2021, 289, 125834.
Authors:
Ahmad,Tanveer
;
Zhang,Dongdong
;
Huang,Chao
;
Zhang,Hongcai
;
Dai,Ningyi
; et al.
Favorite
|
TC[WOS]:
308
TC[Scopus]:
495
IF:
9.7
/
10.2
|
Submit date:2021/03/09
Artificial Intelligence
Big Data
Decision Making
Energy Demand
Energy Digitization
Renewable Energy
Smart energy forecasting strategy with four machine learning models for climate-sensitive and non-climate sensitive conditions
Journal article
Ahmad, Tanveer, Huanxin, Chen, Zhang, Dongdong, Zhang, Hongcai. Smart energy forecasting strategy with four machine learning models for climate-sensitive and non-climate sensitive conditions[J]. Energy, 2020, 198, 117283.
Authors:
Ahmad, Tanveer
;
Huanxin, Chen
;
Zhang, Dongdong
;
Zhang, Hongcai
Favorite
|
TC[WOS]:
26
TC[Scopus]:
31
IF:
9.0
/
8.2
|
Submit date:2021/09/09
Supervised Learning
Utilities And Building Consumption
Energy Forecasting
Imbalanced Data Handling
Performance Correlation
Energy Benchmark
A review on machine learning forecasting growth trends and their real-time applications in different energy systems
Review article
2020
Authors:
Ahmad, Tanveer
;
Chen, Huanxin
Favorite
|
TC[WOS]:
95
TC[Scopus]:
122
IF:
10.5
/
10.0
|
Submit date:2021/12/06
Forecasting
Load Demand Prediction
Machine Learning
Real-time Applications
Renewable Energy Forecasting
Supervised Models