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In this paper an idea of using Evolving Fuzzy Model method for electrical energy consumption prediction is presented. The prediction of energy consumption is an important task for energy trading companies. The prediction should be as accurate as possible since the accuracy of the prediction translates directly into company's profit. In this paper we compare an adaptive linear model with evolving fuzzy...
In this paper an idea for classification of energy consumption profiles using an evolving c-regression method is presented. Cluster prototypes (centers) are usually defined as a mean of data around the center. The cluster center is a vector of numerical values. The method presented in this paper uses Takagi-Sugeno fuzzy models as a cluster prototype. Beside the method description also preliminary...
Increasing demands on effluent quality and loads call for an improved control, monitoring, and fault detection of waste-water treatment plants (WWTPs). Improved control and optimization of WWTP lead to increased pollutant removal, a reduced need for chemicals as well as energy savings. An important step toward the optimal functioning of a WWTP is to minimize the influence of sensor faults on the control...
The paper deals with identification of a cloud based evolving system. The antecedent part of a fuzzy rule-based system is defined by clouds and density distribution as proposed by Angelov and Yager [1], [2]. But in the current paper Mahalanobis distance is used rather than the Euclidean one when calculating the density. The idea behind is that the shape of the clouds should be reflected in the density...
In this paper an attempt of designing the direct self- learning/evolving fuzzy controller is presented. The controller is comprised of several local-controllers each valid in a certain part of input-output space. The input-output space is partitioned by on-line clustering and evolving mechanisms taken from eFuMo method. The controller gains are adapted using the fuzzy model reference adaptive control...
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