Improving Residential Load Forecasting : A Probabilistic Tree-based Approach for Multi-Step Ahead Prediction
author
Shabbir, Noman
Daniel, Kamran
Jawad, M.
Rosin, Argo
Martins, J.
statement of authorship
Noman Shabbir, Kamran Daniel, Muhammad Jawad, Argo Rosin, João F. Martins
source
International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST)
publisher
IEEE
year of publication
2025
conference name, date
2025 60th International Scientific Conference on Information, Communication and Energy Systems and Technologies (ICEST), June 26 to 28, 2025
conference location
Ohrid, Republic of North Macedonia
url
https://doi.org/10.1109/ICEST66328.2025.11098272
subject term
koormus (elektrotehnika)
elamud
prognostika
Scopus
https://www.scopus.com/pages/publications/105014355780?origin=resultslist
keyword
load forecasting
machine learning
NGBoost
residential load
ISBN
979-833152655-9
notes
Bibliogr.: 10 ref
scientific publication
teaduspublikatsioon
classifier
3.1
TalTech department
Targa linna tippkeskus
elektroenergeetika ja mehhatroonika instituut
language
inglise