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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Bibliographic Details
Published in:	IEEE transactions on industrial electronics (1982) Vol. 62; no. 4; pp. 2509 - 2518
Main Authors:	Wei, Qinglai, Liu, Derong, Shi, Guang
Format:	Journal Article
Language:	English
Published:	IEEE 01.04.2015
Subjects:	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
Online Access:	Get full text
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