id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
bracis-28389	Barg, Mauricio W.; Rodrigues, Barbara S.; Justino, Gabriela T.; Cotta, Kleyton Pontes; Portuita, Hugo R. V.; Loução Jr., Flávio L.; Abreu, Iran Pereira; Pigossi Jr., Antônio Carlos	Deep Reinforcement Learning for Voltage Control in Power Systems	2023		.htm	text/html	5596	327	55	Besides the traditional deep reinforcement learning approach, three novel reinforcement learning variations named windowed, ensemble and windowed ensemble Q-Learning, which alter the agent’s learning process for voltage control, are presented and tested on IEEE 13, 37 and 123 bus systems, simulated on OpenDSS. One of these tasks known as voltage control regards keeping voltage on all system buses between certain limits which are usually defined by regulatory associations and take into account the systems’ correct functioning.	cache/bracis-28389.htm	txt/bracis-28389.txt