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Table 2 Error indexes for online optimum BESS management

From: RBF neural network-based online intelligent management of a battery energy storage system for stand-alone microgrids

Output

MAE

MRE

RMSE

Y 1-based RBF (active power)

0.0004270

0.0001935

9.947 × 10−7

Y 2-based RBF (reactive power)

0.0001770

0.0001762

7.821 × 10−7

Y 1-based MLP (active power)

0.01485

0.00636

0.00067

Y 2-based MLP (reactive power)

0.01696

0.02231

0.00064

  1. MAE mean absolute error, MRE mean relative error, RMSE root mean square error, RBF radial basis function, MLP multilayer perceptron
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Energy, Sustainability and Society

ISSN: 2192-0567

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