Forecasting of energy consumption and production using recurrent neural networks
author
Shabbir, Noman
Kütt, Lauri
Jawad, Muhammad
Iqbal, Muhammad Naveed
Ghahfarokhi, Payam Shams
statement of authorship
Noman Shabbir, Lauri Kutt, Muhammad Jawad, Muhammad Naveed Iqbal, Payam Shams Ghahfaroki
source
Advances in electrical and electronic engineering
journal volume number month
vol. 18, 3
year of publication
2020
pages
p. 190−197
url
https://doi.org/10.15598/aeee.v18i3.3597
subject term
energiatarbimine
prognoosmudelid
ilmastik
tehisõpe
algoritmid
keyword
forecasting
energy consumption
energy generation
machine learning
neural network
ISSN
1804-3119
notes
Bibliogr.: 25 ref
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
https://www.scopus.com/sourceid/60241
https://www.scopus.com/record/display.uri?eid=2-s2.0-85092241713&origin=inward&txGid=ea75da5bb685009d2330ea9ff6354505
WOS
https://jcr.clarivate.com/jcr-jp/journal-profile?journal=ADV%20ELECTR%20ELECTRON&year=2022
https://www.webofscience.com/wos/woscc/full-record/WOS:000580258000008
category (general)
Engineering
Tehnika
category (sub)
Engineering. Electrical and electronic engineering
Tehnika. Elektri- ja elektroonikatehnika
quartile
Q3
TalTech department
elektroenergeetika ja mehhatroonika instituut
language
inglise
Reserch Group
Electrical machines research group
Fundamentals of electrical engineering
Smart city research group