The paper presents a nonlinear heteroscedastic model for flow forecasting. The model is composed of two submodels: the former provides the expected value of the flow, conditional on available information, e.g. past flow and precipitation records; the latter provides the variance of the prediction error as a function of past values of the prediction error itself and precipitation measures. The p...

Three geographic information system GIS -based distributed hydrological models were developed for flood simulation and forecasting in a subbasin of the Yellow River. A grid-and-topography-based distributed hydrological physical model, i.e., the GTOPMODEL model, is described that includes vegetation and root interception, evapotranspiration, and runoff generation via the saturation excess mechan...

The complexity of spatial decision-making makes it difficult for individual organization to deal effectively with decision-making. Difficulty in linking data, analysis tools and models across organization is one of the barriers to be overcome in developing integrated spatial decision-making. Many researchers have been working on development of various models and decision support tools to addres...

The apparel industry is a fashion industry with short product life and more demand uncertainty. Participants in apparel supply chain bear more risk. To lower the cost and risk for participants in apparel supply chain, a framework for apparel quick response system based on collaborative forecasting was proposed. The prototype of the apparel quick response system was provided, which included thre...

Load forecasting constitutes an important tool for efficient planning and operation of power systems and its significance has been intensifying particularly, because of the recent movement towards open energy markets and the need to assure high standards on reliability. Accurate load forecasting is of great importance for power system operation. It is the basis of economic dispatch, hydrotherma...

This paper discusses the modelling of rainfall-flow (rainfall-run-off) and flow-routeing processes in river systems within the context of real-time flood forecasting. It is argued that deterministic, reductionist (or 'bottom-up') models are inappropriate for real-time forecasting because of the inherent uncertainty that characterizes river-catchment dynamics and the problems of model over-param...

Budgeting planning plays an important role in coordinating activities in organizations. An accurate sales volume forecasting is the key to the entire budgeting process. All of the other parts of the master budget are dependent on the sales volume forecasting in some way. If the sales volume forecasting is sloppily done, then the rest of the budgeting process is largely a waste of time. Therefor...

This paper presents architecture of a collaborative computation environment based on a Grid infrastructure, used as a support for large scientific virtual organizations. The environment consists primarily of a collaborationsupporting user interface, workflow system capable of submission of jobs to the Grid and a Grid-based data management suite. A prototype of such an environment is deployed an...

In order to provide more precise decision-makings for agricultural producers, an intelligent forecasting system is proposed for agricultural applications in this paper, which processes data stream collected from agricultural environment applying WSN (Wireless Sensor Network) technology. Sensor data stream is different from other traditional stream, the former is characterized by real-time, sequ...