print

Applying reinforcement learning method for real-time energy management

author
Borhan Dayani, Aida
Fazlollahtabar, Hamed
Ahmadiahangar, Roya
Rosin, Argo
statement of authorship
Aida Borhan Dayani, Hamed Fazlollahtabar, Roya Ahmadiahangar, Argo Rosin, Mohammad Salay Naderi, Mehdi Bagheri
source
2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
location of publication
[S.l.]
publisher
IEEE
year of publication
2019
pages
5 p. : ill
conference name, date
2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
conference location
Genova, Italy
url
https://doi.org/10.1109/EEEIC.2019.8783766
subject term
energiamajandus
energiatarbimine
optimeerimine
tehisõpe
keyword
energy management
decision support system
reinforcement learning
demand
Q-learning algorithm
ISBN
978-1-7281-0653-3
978-1-7281-0654-0
notes
Bibliogr.: 22 ref
TTÜ department
elektroenergeetika ja mehhatroonika instituut
language
inglise
Uurimisrühm
Microgrids and metrology
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