Short-term wind energy forecasting using deep learning-based predictive analytics
author
Shabbir, Noman
Kütt, Lauri
Jawad, Muhammad
Husev, Oleksandr
statement of authorship
Noman Shabbir, Lauri Kütt, Muhammad Jawad, Oleksandr Husev, Ateeq Ur Rehman, Akber Abid Gardezi, Muhammad Shafiq, Jin-Ghoo Choi
source
CMC-Computers, Materials & Continua
publisher
Tech Science Press
journal volume number month
vol. 72, 1
year of publication
2022
pages
p. 1017-1033
url
https://doi.org/10.32604/cmc.2022.024576
subject term
tuuleenergia
energia
tehisõpe
keyword
wind energy production
energy forecast
machine learning
ISSN
1546-2218
1546-2226
notes
Bibliogr.: 49 ref
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
Journal metrics at Scopus
Article at Scopus
WOS
Journal metrics at WOS
Article at WOS
category (general)
Mathematics
en
Matemaatika
et
Engineering
en
Tehnika
et
Computer science
en
Arvutiteadus
et
Materials science
en
Materjaliteadus
et
category (sub)
Mathematics. Modeling and simulation
en
Matemaatika. Modelleerimine ja simulatsioon
et
Engineering. Mechanics of materials
en
Tehnika. Materjalide mehaanika
et
Engineering. Electrical and electronic engineering
en
Tehnika. Elektri- ja elektroonikatehnika
et
Computer science. Computer science applications
en
Arvutiteadus. Arvutiteaduse rakendused
et
Materials science. Biomaterials
en
Materjaliteadus. Biomaterjalid
et
kvartiil
Q2
TTÜ department
elektroenergeetika ja mehhatroonika instituut
language
inglise
Uurimisrühm
Fundamentals of electrical engineering
Power electronics group
Smart city research group