NEWS
New Feature!!!! University Subject Rankings in 12 branches
FOR SCIENTIST REGISTRATION FOR INSTITUTIONAL BULK REGISTRATION
FOR EDIT YOUR UNIVERSITY / INSTITUTION PAGE
Some differences of the AD Scientific Index
New Feature!!!! University Subject Rankings in 12 branches
List without CERN, Statistical Data etc. Only in AD Scientific Index
New Feature!!!! University Subject Rankings in 12 branches
AD
Scientific Index 2024
About Us
Methodology
Compare & Choose
Contact - FAQ
login
Login
person_add
Register
school
University Rankings
subject
University Subject Rankings
place
Country Rankings
insights
i10 Productivity Rankings
insights
Subject Rankings
format_list_numbered
Top 100 Scientists
format_list_numbered
Citation Rankings
format_quote
Top 100 Institutions
local_fire_department
Country Top Lists
Huanling Hu
AD Scientific Index 2024
Others
South China Agricultural University - Guangzhou / China
华南农业大学
Edit Form
Registration, Add Profile,
Premium Membership
Ranking &
Analysis
Job
Experiences (0)
Education
Information (0)
Published Books (0)
Book Chapters (0)
Articles (0)
Presentations (0)
Lessons (0)
Projects (0)
Congresses (0)
Editorship, Referee &
Scientific Board (0 )
Patents /
Designs (0)
Academic Grants
& Awards (0)
Artistic
Activities (0)
Certificate / Course
/ Trainings (0)
Association &
Society Memberships (0)
Contact, Office
& Social Media
person_outline
Huanling Hu's MOST POPULAR ARTICLES
1-)
Wind speed forecasting based on variational mode decomposition and improved echo state networkH Hu, L Wang, R TaoRenewable Energy 164, 729-751, 20211192021
2-)
Forecasting energy consumption and wind power generation using deep echo state networkH Hu, L Wang, SX LvRenewable Energy 154, 598-613, 20201152020
3-)
Effective electricity energy consumption forecasting using echo state network improved by differential evolution algorithmL Wang, H Hu, XY Ai, H LiuEnergy 153, 801-815, 2018972018
4-)
Effective energy consumption forecasting using enhanced bagged echo state networkH Hu, L Wang, L Peng, YR ZengEnergy 193, 116778, 2020852020
5-)
Effective wind power prediction using novel deep learning network: Stacked independently recurrent autoencoderL Wang, R Tao, H Hu, YR ZengRenewable Energy 164, 642-655, 2021772021
ARTICLES
Add your articles
We use cookies to personalize our website and offer you a better experience. If you accept cookies, we can offer you special services.
Cookie Policy
Accept