Nonvolatile CMOS memristor, reconfigurable array and its application in power load forecasting

Quanli Deng, Chunhua Wang, Jingru Sun, Yichuang Sun, Jinguang Jiang, Hairong Lin, Zekun Deng

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The high cost, low yield, and low stability
of nano-materials significantly hinder the application and
development of memristors. To promote the application of
memristors, researchers proposed a variety of memristor
emulators to simulate memristor functions and apply them
in various fields. However these emulators lack nonvolatile
characteristics, limiting their scope of application. This
paper proposes an innovative nonvolatile memristor circuit
based on complementary metal-oxide-semiconductor
(CMOS) technology, expanding the horizons of memristor
emulators. The proposed memristor is fabricated in a reconfigurable
array architecture using the standard CMOS
process, allowing the connection between memristors to
be altered by configuring the on-off state of switches. Compared
to nano-material memristors, the CMOS nonvolatile
memristor circuit proposed in this paper offers advantages
of low manufacturing cost and easy mass production,
which can promote the application of memristors. The application
of the reconfigurable array is further studied by
constructing an Echo State Network (ESN) for short-term
load forecasting in the power system.
Original languageEnglish
Pages (from-to)1-12
Number of pages12
JournalIEEE Transactions on Industrial Informatics
Early online date29 Dec 2023
Publication statusE-pub ahead of print - 29 Dec 2023


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