background: using primary tumor gene expression has been shown to have the ability of finding metastasis-driving gene markers for the prediction of breast cancer recurrence (bcr). however, there are some difficulties associated with the analysis of microarray data which led to poor predictive power and inconsistency of the previously introduced gene signatures. methods: in this study a hybrid m...

The growing trend of wind generation in power systems and its uncertain nature have recently highlighted the importance of wind power prediction. In this paper a new wind power prediction approach is proposed which includes an improved version of Kriging Interpolation Method (KIM), Empirical Mode Decomposition (EMD), an information-theoretic feature selection method, and a closed-loop forecasti...

The fluctuation of active power output of wind farm has many negative impacts on large-scale wind power integration into power grid. In this paper, flywheel energy storage system (FESS) was connected to AC side of the doubly-fed induction generator (DFIG) wind farm to realize smooth control of wind power output. Based on improved wind power prediction algorithm and wind speed-power curve modeli...

Penetration of smart grid prominently increases the complexity and uncertainty in scheduling and operation of power systems. Probability density forecasting methods can effectively quantify the uncertainty of power load forecasting. The paper proposes a short-term power load probability density forecasting method using kernel-based support vector quantile regression (KSVQR) and Copula theory. A...

Benchmark refrigeration systems in the road transportation sector are powered by diesel, having operation costs of up to 6,000 €/y with the consequent increase of the goods cost. This chapter presents an alternative refrigeration system based on fuel cells (FC) and hydrogen as fuel, with higher efficiency, reduced costs and independent of diesel price fluctuations. Examples of the energy load p...

In this study, the thermodynamic performance of a turbocharged compression ignition engine with heat transfer and friction term losses was analyzed. The purpose of this work was to provide a flexible thermodynamic model based on the filling-and-emptying approach for the performance prediction of a four-stroke turbocharged compression ignition engine. To validate the model, comparisons were made...

The purpose of this paper is to demonstrate the validity of mesoscale numerical weather prediction modeling near the complex terrain at Aubrey Cliffs, Arizona, and to investigate the influence of the outer domain size employed on the computational results. Mesoscale Modeling v5 (MM5) was implemented to produce numerical wind data that was compared with experimental wind data. The results obtain...

Instruction caches consume a large fraction of the total power in modern low-power microprocessors. In particular, set-associative caches, which are preferred because of lower miss rates, require greater access energy on hits than direct-mapped caches; this is because of the need to locate instructions in one of several ways. Way prediction has been proposed to reduce power dissipation in conve...

The issue of query performance prediction has been studied in the context of text retrieval and Web search. In this paper, we investigate this issue in an intranet environment. The collection used is a crawl of the dcs.gla.ac.uk domain, and the queries are logged from the domain search engine, which is powered by the Terrier platform. We propose an automatic evaluation methodology generating th...

This paper describes a system for estimating the parameters of a simple model of an electric utility outlet using a transient measurement. Parameters of the utility model are estimated using data collected by the prototype. Nonlinear, frequency dependent eeects observed in previous work in this area are accounted for with a physically based model. The performance of the entire system is demonst...