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...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	IEEE transactions on industrial electronics (1982) Ročník 62; číslo 4; s. 2509 - 2518
Hlavní autoři:	Wei, Qinglai, Liu, Derong, Shi, Guang
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	IEEE 01.04.2015
Témata:	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 přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!