kompaktne vaade prindi

Multi-step ahead short-term residential DC load forecasting : A comparative study of NGBoost-based algorithms

autor
Shabbir, Noman
Husev, Oleksandr
Hokmabad, Hossein Nourollahi
Daniel, Kamran
Jawad, Muhammad
Martins, Joao
vastutusandmed
Noman Shabbir, Oleksandr Husev, Hossein Nourollahi Hokmabad, Kamran Daniel, Muhammad Jawad, Joao Martins
allikas
2025 IEEE Seventh International Conference on DC Microgrids (ICDCM)
ilmumiskoht
Tallinn
kirjastus/väljaandja
IEEE
ilmumisaasta
2025
leheküljed
6 p
konverentsi nimetus, aeg
7th IEEE International Conference on DC Microgrids (ICDCM 2025), Tallinn, Estonia, June 4 – 6, 2025
konverentsi toimumispaik
Tallinn, Estonia
leitav
https://doi.org/10.1109/ICDCM63994.2025.11144710
märksõna
elamud
alalisvool
koormus (elektrotehnika)
prognostika
tehisõpe
võtmesõna
residential load
DC loads
load forecasting
machine learning (ML)
NGBoost
ISBN
979-8-3315-1275-0
teaduspublikatsioon
teaduspublikatsioon
klassifikaator
3.1
TTÜ struktuuriüksus
FinEst Centre for Smart Cities
Department of Electrical Power Engineering and Mechatronics
keel
English
Shabbir, N., Husev, O., Hokmabad, H. N., Daniel, K., Jawad, M., Martins, J. Multi-step ahead short-term residential DC load forecasting : A comparative study of NGBoost-based algorithms // 2025 IEEE Seventh International Conference on DC Microgrids (ICDCM). Tallinn : IEEE, 2025. 6 p. https://doi.org/10.1109/ICDCM63994.2025.11144710