The forecasting of electricity demand has become one of the major research fields in
electrical engineering. Accurately estimated forecasts are essential part of an efficient power …

In deregulated electricity markets, price forecasting is gaining importance between various
market players in the power in order to adjust their bids in the day-ahead electricity markets …

Fuzzy and neural-fuzzy systems have successfully and extensively applied to solve
problems in many research areas such as those associated with industrial, medical and …

Forecasting time series is an emerging topic in operational research. Existing time-series
models have limited prediction accuracy when faced with the characteristics of nonlinearity …

A reliable predictor is very useful to a wide array of industries to forecast the behaviour of
dynamic systems. In this paper, an adaptive multi-step predictor is developed based on a …

A reliable and real-time predictor is very useful to a wide array of industries to forecast the
behaviour of dynamic systems. In this paper, an adaptive predictor is developed based on …

Feedforward neural networks are those in which the input signal follows only one direction:
from the input layer to the output layer, passing through all the hidden layers, in contrast with …

A reliable monitoring system is critically needed in a wide range of industries to detect the
occurrence of a fault to prevent machinery performance degradation, malfunction, and …

A reliable and online predictor is very useful to a wide array of industries to forecast the
behavior of time-varying dynamic systems. In this paper, an evolving fuzzy system (EFS) is …

A type of recurrent neural network has been proposed by H. Jaeger. This model, called Echo
State Network (ESN), possesses a highly interconnected and recurrent topology of nonlinear …