Nalazite se na CroRIS probnoj okolini. Ovdje evidentirani podaci neće biti pohranjeni u Informacijskom sustavu znanosti RH. Ako je ovo greška, CroRIS produkcijskoj okolini moguće je pristupi putem poveznice www.croris.hr
izvor podataka: crosbi !

Controlling the power distribution network with a deep reinforcement learning-based agent (CROSBI ID 701182)

Prilog sa skupa u zborniku | sažetak izlaganja sa skupa

Brčić, Mario ; Jurić, Mislav ; Damjanović, Ivana ; Sudić, Ivan Controlling the power distribution network with a deep reinforcement learning-based agent // KOI 2020 Book of Abstracts. 2020. str. 52-53

Podaci o odgovornosti

Brčić, Mario ; Jurić, Mislav ; Damjanović, Ivana ; Sudić, Ivan

engleski

Controlling the power distribution network with a deep reinforcement learning-based agent

Controlling power distribution networks is becoming increasingly complex due to globalization, growing network size, the addition of new sources of uncertainty, rising consumption, and concurrent limitations on capacity expansion. Similar considerations can be applied to power distribution networks, supply chains, and information networks. This paper specifies and implements a deep learning-based agent to operate a simple power distribution network in a secure manner that prevents power outages. The agent is first trained by imitation learning from a heuristic agent and it is then further improved by reinforcement learning using proximal policy optimization.

deep reinforcement learning ; imitation learning ; distribution network

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

nije evidentirano

Podaci o prilogu

52-53.

2020.

nije evidentirano

objavljeno

Podaci o matičnoj publikaciji

KOI 2020 Book of Abstracts

Podaci o skupu

18th International Conference on Operational Research (KOI 2020)

predavanje

23.09.2020-25.09.2020

Šibenik, Hrvatska

Povezanost rada

Interdisciplinarne tehničke znanosti, Matematika, Računarstvo