In the spectral data management, under different regions and different time, spectral data is very big, resulting in the spectrum management would be difficult, this article based on Bayesian network of depth neural networks, aiming at the characteristics of spectrum management, studying the spectrum historical data, and according to the results to forecast spectrum occupancy, in order to achie...

Climate models project a general decline in western US snowpack throughout the 21st century, but long-term, spatially fine-grained, management-relevant projections of snowpack are not available for Yellowstone National Park. We focus on the implications that future snow declines may have for oversnow vehicle (snowmobile and snowcoach) use because oversnow tourism is critical to the local econom...

As a result of rapid urban economic development and improvement in living standards, urban residential electricity consumption in China is increasing quickly. Although the factors which influence the urban residential load are complex, an objective analysis followed by the setting up of a logical urban residential load forecast model can offer a scientific basis for decisions regarding urban po...

Fuzzy Load forecasting plays a paramount role in the operation and management of power systems. Accurate estimation of future power demands for various lead times facilitates the task of generating power reliably and economically. The forecasting of future loads for a relatively large lead time (months to few years) is studied here (long term load forecasting). Among the various techniques used...

In this paper we study forecast and inventory control problems for DVD-by-mail operations. Specifically, we focus on inventory management for in-circulation items after the new release rental peak. For such items, the demand volume is usually low and unpredictable. Leveraging on the unique operational feature of DVD-by-mail services, we propose effective forecast models for itemlevel returns an...

Amajor problem in forecasting is estimating the time of some future event. Traditionally, forecasts are designed to minimize an error cost function that is evaluated once, possibly when the event occurs and forecast accuracy can be determined. However, in many applications forecast error costs accumulate over time, and the forecasts themselves may be updated with information that is collected a...

Marine fisheries management strives to maintain sustainable populations while allowing exploitation. However, well-intentioned management plans may not meet this balance as most do not include the effect of climate change. Ocean temperatures are expected to increase through the 21st century, which will have far-reaching and complex impacts on marine fisheries. To begin to quantify these impacts...