prindi

Applying reinforcement learning method for real-time energy management

autor
Borhan Dayani, Aida
Fazlollahtabar, Hamed
Ahmadiahangar, Roya
Rosin, Argo
vastutusandmed
Aida Borhan Dayani, Hamed Fazlollahtabar, Roya Ahmadiahangar, Argo Rosin, Mohammad Salay Naderi, Mehdi Bagheri
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
5 p. : ill
konverentsi nimetus, aeg
2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
konverentsi toimumispaik
Genova, Italy
leitav
https://doi.org/10.1109/EEEIC.2019.8783766
märksõna
energiamajandus
energiatarbimine
optimeerimine
tehisõpe
võtmesõna
energy management
decision support system
reinforcement learning
demand
Q-learning algorithm
ISBN
978-1-7281-0653-3
978-1-7281-0654-0
märkused
Bibliogr.: 22 ref
TTÜ struktuuriüksus
elektroenergeetika ja mehhatroonika instituut
keel
inglise
Uurimisrühm
Mikrovõrkude ja metroloogia uurimisrühm, sh valgustehnika labor
Borhan Dayani, A., Fazlollahtabar, H., Ahmadiahangar, R., Rosin, A. et al. Applying reinforcement learning method for real-time energy management // 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. 5 p. : ill. https://doi.org/10.1109/EEEIC.2019.8783766