A novel dual iterative Q-learning method for optimal battery management in smart residential environments

In this paper, a novel iterative Q-learning method called "dual iterative Q-learning algorithm" is developed to solve the optimal battery management and control problem in smart residential environments. In the developed algorithm, two iterations are introduced, which are internal and exte...

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Vydané v:	IEEE transactions on industrial electronics (1982) Ročník 62; číslo 4; s. 2509 - 2518
Hlavní autori:	Wei, Qinglai, Liu, Derong, Shi, Guang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 01.04.2015
Predmet:	Adaptive critic designs adaptive dynamic programming approximate dynamic programming Batteries Convergence Indexes Iterative algorithms neural networks Optimal control Performance analysis Q-learning smart grid approximate dynamic programming Q-learning smart grid neural networks optimal control Adaptive critic designs adaptive dynamic programming (ADP)
ISSN:	0278-0046, 1557-9948
On-line prístup:	Získať plný text
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