Residential load forecasting using recurrent neural networks
author
Shabbir, Noman
Ahmadiahangar, Roya
Raja, Hadi Ashraf
Kütt, Lauri
Rosin, Argo
statement of authorship
Noman Shabbir, Roya Amadiahangar, Hadi A. Raja, Lauri Kütt, Argo Rosin
source
2020 IEEE 14th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG) : proceedings
location of publication
Danvers
publisher
IEEE
year of publication
2020
pages
p. 478-481 : ill
conference name, date
IEEE 14th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG), 8-10 July 2020
conference location
Setubal, Portugal
url
https://doi.org/10.1109/CPE-POWERENG48600.2020.9161565
subject term
koormus (elektrotehnika)
elektrivõrgud
tehisõpe
sügavõpe
tehisnärvivõrgud
tark linn
keyword
load forecasting
machine learning
deep learning
styling
neural networks
ISSN
2166-9546
ISBN
978-1-7281-4218-0
notes
Bibliogr.: 17 ref
TTÜ department
elektroenergeetika ja mehhatroonika instituut
language
inglise
Uurimisrühm
Electrical machines research group
Fundamentals of electrical engineering
Microgrids and metrology
Smart city research group