Reinforcement learning model-based and model-free paradigms for optimal control problems in power systems: comprehensive review and future directions

author
Ginzburg-Ganz, Elinor
Segev, Itay
Balabanov, Alexander
Kaully Naveh, Sivan
Katzir, Liran
Keren, Sarah
statement of authorship
Elinor Ginzburg-Ganz, Itay Segev, Alexander Balabanov, Elior Segev, Sivan Kaully Naveh, Ram Machlev, Juri Belikov, Liran Katzir, Sarah Keren and Yoash Levron
source
publisher
journal volume number month
vol. 17, 21
year of publication
pages
art. 5307, 54 p. : ill
ISSN
1996-1073
notes
Bibliogr.: 197 ref
Open Access
Open Access
scientific publication
teaduspublikatsioon
language
inglise
Ginzburg-Ganz, E., Segev, I., Balabanov, A., Segev, E., Kaully Naveh, S., Machlev, R., Belikov, J., Katzir, L., Keren, S., Levron, Y. Reinforcement learning model-based and model-free paradigms for optimal control problems in power systems: comprehensive review and future directions // Energies (2024) vol. 17, 21, art. 5307, 54 p. : ill. https://doi.org/10.3390/en17215307