prindi

Residential load forecasting for flexibility prediction using machine learning-based regression model

autor
Ahmadiahangar, Roya
Häring, Tobias
Rosin, Argo
Korõtko, Tarmo
Martins, Joao
vastutusandmed
Roya Ahmadiahangar, Tobias Häring, Argo Rosin, Tarmo Korõtko, João Martins
allikas
2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
ilmumiskoht
[S.l.]
kirjastus/väljaandja
IEEE
ilmumisaasta
2019
leheküljed
4 p. : ill
konverentsi nimetus, aeg
IEEE International Conference on Environment and Electrical Engineering and IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe, 11-14 June 2019
konverentsi toimumispaik
Genova, Italy
leitav
https://doi.org/10.1109/EEEIC.2019.8783634
märksõna
tehisõpe
majapidamised
elektritarbimine
võtmesõna
machine learning
flexibility
home energy management
regression models
electricity consumption
ISBN
978-1-7281-0653-3
978-1-7281-0654-0
märkused
Bibliogr.: 14 ref
TTÜ struktuuriüksus
elektroenergeetika ja mehhatroonika instituut
keel
inglise
Uurimisrühm
Mikrovõrkude ja metroloogia uurimisrühm, sh valgustehnika labor
Ahmadiahangr, R., Häring, T., Rosin, A., Korõtko, T., Martins, J. . Residential load forecasting for flexibility prediction using machine learning-based regression model // 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe). [S.l.] : IEEE, 2019. 4 p. : ill. https://doi.org/10.1109/EEEIC.2019.8783634