The new energy industry is strongly supported by the state, and accurate forecasting of stock price can lead to better understanding of its development. However, factors such as cost and ease of use of new energy, as well as economic situation and policy environment, have led to continuous...

Accurately electric load forecasting has become the most important management goal, however, electric load often presents nonlinear data patterns. Therefore, a rigid forecasting approach with strong general nonlinear mapping capabilities is essential. Support vector regression (SVR) applies the...

Traditional time series forecasting models are difficult to capture the nonlinear patterns. Support vector regression (SVR) has been successfully used to solve nonlinear regression and times series problems. However, parameters determination for a SVR model is competent to the forecasting...

The Bin Packing Problems play an important role in plans of production and saving cost in factories. This paper is to develop a set of Intellectual Automatic Typesetting System (IATS) for luggage factories through Bin Packing Algorithm and Genetic Algorithm. Firstly, we attain the cost of raw...

In the car-rental industry, it is generally assumed that a 1% increase in price contributes an 8% profit increment. Therefore, pricing is of priority concern in revenue management. Accurately forecasting monthly revenue per unit (RPU) (per car) has received increasing attention owing to its...

Traditional time series forecasting models are difficult to capture the nonlinear patterns. Support vector regression (SVR) has been successfully used to solve nonlinear regression and times series problems. However, parameters determination for a SVR model is competent to the forecasting...

Accurate forecasting of inter-urban traffic flow has been one of most important issues in the research on road traffic congestion. The traffic flow forecasting involves a rather complex nonlinear data pattern. Recently, support vector regression (SVR) model has been widely used to solve...