Least mean square fourth based microgrid state estimation algorithm using the internet of things technology

This paper proposes an innovative internet of things (IoT) based communication framework for monitoring microgrid under the condition of packet dropouts in measurements. First of all, the microgrid incorporating the renewable distributed energy resources is represented by a state-space model. The IoT embedded wireless sensor network is adopted to sense the system states. Afterwards, the informa...

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Least Mean Square Algorithm

The Least Mean Square (LMS) algorithm, introduced by Widrow and Hoff in 1959 [12] is an adaptive algorithm, which uses a gradient-based method of steepest decent [10]. LMS algorithm uses the estimates of the gradient vector from the available data. LMS incorporates an iterative procedure that makes successive corrections to the weight vector in the direction of the negative of the gradient vect...

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Least Mean Square Algorithm

The Least Mean Square (LMS) algorithm, introduced by Widrow and Hoff in 1959 [12] is an adaptive algorithm, which uses a gradient-based method of steepest decent [10]. LMS algorithm uses the estimates of the gradient vector from the available data. LMS incorporates an iterative procedure that makes successive corrections to the weight vector in the direction of the negative of the gradient vect...

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improvement of Location-based Algorithm in the Internet of Things

Location Based Services (LBS) has become an important field of research with the rapid development of Internet-based Information Technology (IOT) technology and everywhere we use smartphones and social networks in our everyday lives. Although users can enjoy the flexibility, facility, facility and location-based services (LBS) with the Internet of Things, they may lose their privacy. An untrust...

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A New Mixed Least Mean Square and Least Mean Fourth Algorithm for Multilayer Perceptron Fast Training

In this work a new fast training algorithm for the multilayer perceptron (MLP) is proposed. This algorithm is based on optimising a criterion formed from the Mean Squared and Mean Fourth power errors, resulting in a modified form of the Standard Back-Propagation (SBP) algorithm. In this criterion, the mean fourth power error signal is appropriately weighted. The choice of the weighting paramete...

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Least mean square fourth based microgrid state estimation algorithm using the internet of things technology

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