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

author
Shabbir, Noman
Husev, Oleksandr
Hokmabad, Hossein Nourollahi
Daniel, Kamran
Jawad, Muhammad
Martins, Joao
statement of authorship
Noman Shabbir, Oleksandr Husev, Hossein Nourollahi Hokmabad, Kamran Daniel, Muhammad Jawad, Joao Martins
source
2025 IEEE Seventh International Conference on DC Microgrids (ICDCM)
location of publication
Tallinn
publisher
IEEE
year of publication
2025
pages
6 p
conference name, date
7th IEEE International Conference on DC Microgrids (ICDCM 2025), Tallinn, Estonia, June 4 – 6, 2025
conference location
Tallinn, Estonia
url
https://doi.org/10.1109/ICDCM63994.2025.11144710
subject term
elamud
alalisvool
koormus (elektrotehnika)
prognostika
tehisõpe
keyword
residential load
DC loads
load forecasting
machine learning (ML)
NGBoost
ISBN
979-8-3315-1275-0
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
FinEst Targa linna tippkeskus
elektroenergeetika ja mehhatroonika instituut
language
Inglise
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