The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Even though the electricity HPFC (Hourly Price Forward Curve) is still surprisingly under-researched the prediction of electricity prices is highly important in order to keep power plants profitable or in order to optimize the electricity purchases based on future customers demand. In this work two methods to model and predict HPFC based on neural networks will be proposed and compared to more common...
We demonstrate a method to build an autoregressive model for the whole brain without carrying out any aggregation of the fMRI data. The model gives biologically meaningful results and has several desirable properties. We show that the model gives significantly improved prediction on unseen data as compared to baseline methods. The voxels with better prediction are distributed throughout the brain,...
This paper presents a simple and precise wave prediction method for applications to real-time control of wave energy converters (WECs). The proposed prediction method is based on a so-called modified grey model with first order - one variable - MGM(1,1). This model was developed from the conventional grey model - GM(1,1) in which the background series used to establish grey differential equation was...
The growing demand for quality and performance has become a discriminating factor in the field of web applications. Advances in software technology and project management have increased the amount of web applications which are developed under these aspects. At the same time the research in web performance simulation and prediction is focusing on complex modeling methods and techniques rather than...
Understanding input/output (I/O) performance in high performance computing (HPC) is becoming increasingly important as the gap between the performance of computation and I/O widens. In this paper we propose a methodology to predict an application's disk I/O time while running on High Performance Computing Modernization Program (HPCMP) systems. Our methodology consists of the following steps: 1) Characterize...
In object tracking wireless sensor networks, communication overheads affect the accuracy of tracking localization seriously. Existing seminar works suffer from lacking of adaptively on various accuracy requirements, which lead to large amount of network traffic. In this paper, we propose a coordination mechanism based on joint mobility prediction method between sink node and sensor node, as to meet...
In this paper the problem of prediction of queue lengths in the multi-queue-single-processor queuing system is considered. Efficient solutions for this problem are crucial in many technical appliances, such as load balancing in multi-processor systems. Here, a fuzzy-neural model for approximation of the average future system load along with model identification algorithm are proposed. Moreover, condition...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.