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Empirical mode decomposition (EMD) approximate entropy and least squares support vector machines (LS-SVM) with bacterial colony chemotaxis (BCC) were used to detect the fault signals in single phase earth, and then distinguish the transient faults and permanent faults on transmission lines. After faults occur, different kinds of faults have different complex levels of voltage transient signals which...
Aiming at improving the accuracy and speed of short-term load forecasting (STLF), the proposed BCC-LS-SVM model is presented, among which bacterial colony chemotaxis (BCC) optimization algorithm is used to determine hyper-parameters of least squares support vector machine (LS-SVM). BCC is a novel category of bionic algorithm, which takes advantage of the bacterium's reaction to chemoattractants to...
In order to overcome the deficiencies of artificial neural networks (ANN), such as low convergence rate, local optimal solution, over-fitting and difficult determination of structure, a proposed QPSO-LS-SVMs method is applied to fault diagnosis of power transformer. It takes five characteristic gases dissolved in transformer oil as its inputs and seven transformer states as its outputs, constructs...
Aiming at improving the accuracy and speed of short-term load forecasting (STLF), the proposed BCC-LS-SVM model is presented, among which bacterial colony chemotaxis (BCC) optimization algorithm is used to determine hyper-parameters of least squares support vector machine (LS-SVM). BCC is a novel category of bionic algorithm, which takes advantage of the bacterium's reaction to chemoattractants to...
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