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
https://www.scopus.com/sourceid/24364
https://www.scopus.com/record/display.uri?eid=2-s2.0-85125405835&origin=inward&txGid=5892fd311f898e603d6b763b6a18325e
WOS
https://jcr.clarivate.com/jcr-jp/journal-profile?journal=CMC-COMPUT%20MATER%20CON&year=2022
https://www.webofscience.com/wos/woscc/full-record/WOS:000763489500023
category (general)
Mathematics
Matemaatika
Engineering
Tehnika
Computer science
Arvutiteadus
Materials science
Materjaliteadus
category (sub)
Mathematics. Modeling and simulation
Matemaatika. Modelleerimine ja simulatsioon
Engineering. Mechanics of materials
Tehnika. Materjalide mehaanika
Engineering. Electrical and electronic engineering
Tehnika. Elektri- ja elektroonikatehnika
Computer science. Computer science applications
Arvutiteadus. Arvutiteaduse rakendused
Materials science. Biomaterials
Materjaliteadus. Biomaterjalid
quartile
Q2
TalTech department
elektroenergeetika ja mehhatroonika instituut
language
inglise
Reserch Group
Fundamentals of electrical engineering
Power electronics group
Smart city research group