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The quality in the manufacturing processes generally depends on the attainment of a great deal of characteristics, which sometimes are correlated. An efficient transformation of these attributes probably can be done through ...

This work proposes a new approach to short-term load forecast for power distribution substations using the artificial neural network ensemble. In this sense, the main objective of this approach is to make predictions for ...

Nonlinear time series forecasting is widely used in several areas to make good inferences about the future and to support decisions. Many examples of nonlinear time series include medical observations, financial ...