Sentence examples for is utilized to forecast from inspiring English sources

Firstly an ELM is utilized to forecast the short-term wind power.

In the present study, Singular Spectrum Analysis (SSA) is utilized to forecast the daily rainfall time series pertaining to Koyna watershed in Maharashtra, India, for 365 days after extracting various components of the rainfall time series such as trend, periodic component, noise and cyclic component.

Subsequently, this model is utilized to forecast the real pattern of genes' differential expression.

The wavelet analysis was utilized to capture multiscale data characteristics, while a real neural network (RNN) was utilized to forecast crude oil prices at different scales.

A stacked denoising autoencoder (SDA) model, a class of deep neural networks (DNN), and its extended version are utilized to forecast the daily electricity price profile.

In [19], several methods with some economic data as inputs are utilized to forecast the monthly average price, and the best mean absolute percentage error (MAPE) in these methods is 12.97%.

It is found that for developing and developed economies, forecasted EEC trends are significantly different, as expected, and IPSO ANN model can be utilized to forecast long-term EEC up to 2030 with mean absolute percentage error of 1.94 and 1.51% for Iran and the U.S., respectively.

Meanwhile, LSSVM is utilized to establish forecasting models of the trend component and main components, where their parameters are optimized by PSO algorithm.

The GPR (Gaussian Process Regression) model is utilized to combine independent forecasts generated by various forecasting engines (ARIMA (Autoregressive Integrated Moving Average, ELM Extreme Learning Machine, SVMSupportpport Vector Machine) and LSSVM (Least Square SVM)) in a nonlinear way rather than the commonly used linear way.

An innovative quantile regression neural network with parameter embedding is established to capture the load variation, and a temperature scenario based technique is utilized to generate temperature forecasting in a probabilistic manner.

Furthermore, the high dimensional Bayesian information criterion (HDBIC) is utilized to select the optimal forecasting model.