The prediction results are compared with the time series prediction
method and the least squares prediction method to verify its rationality.
It is known that SNPOM is an efficient optimization method fallen into this category, which makes good use of the model parameters feature and gives impressive performance in time series prediction
and nonlinear control.
Application of chaos and fractal models to water quality time series prediction
. Environmental Modelling & Software, 24(5), 632-636, DOI: 10.1016/j.envsoft.2008.10.004
Because the power transmission line icing is a multivariate time series described by formula (6), according to the phase-space reconstruction model shown as formula (7), the time series prediction
model of power transmission line icing can be found as the following formula:
Time Series Prediction
. Time series forecasting is an important subject in which past observations of an interested variable are recorded and analyzed to establish a prediction model .
This is in contrast to many traditional techniques for time series predictions
, such as ARIMA, which assume that the series are generated from linear processes and as a result might be inappropriate for most real-world problems that are nonlinear [5, 6].
A new form of RNN training methods, echo state network (ESN), has been proposed by Jaeger and Haas , which is simple and applicable for time series prediction
with high accuracy and computational efficiency.
There has been a great effort in the research community to the development and improvement of the time series prediction
So it is a new way for nonlinear time series prediction
. Su et al.
DAN2 for time series prediction
is described by equations (3), (4) and (6).
De Gooijer and Hyndman (2006) studied a method for time series prediction
and concluded that the method was needed to be proved in some aspects.
Time series prediction
of local weather is crucial for many aspects of energy conservation, economic operation, and improved thermal comfort in commercial buildings.