Residential DC load forecasting using long short-term memory network (LSTM)
author
Shabbir, Noman
Ahmadiahangar, Roya
Rosin, Argo
Husev, Oleksandr
Jalakas, Tanel
Martins, Joao
statement of authorship
Noman Shabbir, Roya Ahmadiahangar, Argo Rosin, Oleksandr Husev, Tanel Jalakas,Joao Martins
source
2023 IEEE 11th International Conference on Smart Energy Grid Engineering (SEGE)
publisher
IEEE
year of publication
2023
pages
p. 131-136
conference name, date
The 11th International Conference on Smart Energy Grid Engineering (SEGE 2023), August 13-15, 2023
conference location
Oshawa, Canada
url
https://doi.org/10.1109/SEGE59172.2023.10274596
subject term
energiasüsteemid
koormus (elektrotehnika)
tehisõpe
sügavõpe
keyword
residential load
DC loads
load forecasting
machine learning (ML)
deep learning (DL)
ISSN
2575-2693
ISBN
979-8-3503-4071-6
notes
Bibliogr.: 26 ref
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
Targa linna tippkeskus
elektroenergeetika ja mehhatroonika instituut
language
inglise
Reserch Group
Fundamentals of electrical engineering
Power electronics group
Microgrids and metrology