Stochastic characteristics of wind power generation may lead to reliability and power quality problems in power systems. This paper presents two control schemes considering state-of-charge (SOC) in the energy storage system for the wind-turbine-generator: constant power mode and power balance mode. Because the response of energy storage system is not fast enough, estimated coming wind power is ...

In the recent years, the use of GARCH type (especially, ARMA-GARCH) models and computational-intelligence-based techniques—Support Vector Machine (SVM) and Relevance Vector Machine (RVM) have been successfully used for financial forecasting. This paper deals with the application of ARMA-GARCH, recurrent SVM (RSVM) and recurrent RVM (RRVM) in volatility forecasting. Based on RSVM and RRVM, two G...

In this paper, we introduce a multiscale stochastic simulation algorithm (MSSA) which makes use of Gillespie s stochastic simulation algorithm (SSA) together with a new stochastic formulation of the partial equilibrium assumption (PEA). This method is much more efficient than SSA alone. It works even with a very small population of fast species. Implementation details are discussed, and an appl...

Recently, many academy researchers have proposed several forecasting models by technical analysis to forecast stocks, such as (Yamawaki & Tokuoka 2007) [1]. The traditional approach uses a linear time series model for stock forecasting. However, the results would be in doubt when the forecasting problems are nonlinear. Multifeature data from financial statements usually produce high-dimensional...

ions Sebastian Pop , Albert Cohen , and Georges-André Silber 1 1 CRI, Mines Paris, Fontainebleau, France 2 ALCHEMY group, INRIA Futurs, Orsay, France Abstract. This paper presents the design of an induction variable analyzer suitable for the analysis of typed, low-level, three address representations in SSA form. At the heart of our analyzer is a new algorithm recognizing scalar evolutions. We ...

The Lee-Carter model and its extensions are the most popular methods in field of forecasting mortality rate. But, spite introducing several different rate so far, there is no general method applicable to all situations. Singular Spectrum Analysis (SSA) a relatively new, powerful non parametric time series analysis that capability has been proven various sciences. In this paper, we investigate f...

A systematic comparison of two basic types of neural network, static and dynamic, is presented in this study. Two backpropagation (BP) learning optimization algorithms, the standard BP and conjugate gradient (CG) method, are used for the static network, and the real-time recurrent learning (RTRL) algorithm is used for the dynamic-feedback network. Twenty-three storm-events, about 1632 rainfall ...