A recurrent neural network for optimal real-time price in smart grid
Recently, some algorithms have been proposed for optimal real-time price in smart grid based on optimization theory. In this paper, a recurrent neural network modeled by means of a differential inclusion is proposed for solving this problem. Compared with the existing algorithms, recurrent neural ne...
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Published in | Neurocomputing (Amsterdam) Vol. 149; pp. 608 - 612 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
Elsevier B.V
03.02.2015
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Subjects | |
Online Access | Get full text |
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