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XgBoost based short-term electrical load forecasting considering trends & periodicity in historical data

author
statement of authorship
Noman Shabbir, Roya Ahmadiahangar, Argo Rosin, Muhammad Jawad, Jako Kilter, Joao Martins
source
publisher
year of publication
pages
6 p
conference name, date
IEEE International Conference on Energy Technologies for Future Grids (ETFG), Dec. 3-6, 2023
conference location
Wollongong, Australia
url
ISBN
978-166547164-0
notes
Bibliogr.: 25 ref
scientific publication
teaduspublikatsioon
TalTech department
language
inglise
Scopus
scopus
classifier
3.1
Reserch Group
Power systems research group
Microgrids and metrology
Shabbir, N., Ahmadiahangar, R., Rosin, A., Jawad, M., Kilter, J., Martins, J. XgBoost based short-term electrical load forecasting considering trends & periodicity in historical data // 2023 IEEE International Conference on Energy Technologies for Future Grids (ETFG). : IEEE, 2023. 6 p. https://doi.org/10.1109/ETFG55873.2023.10407926