Accurate forecasting of logistics demand is great theoretical significance and practical application value for the formulation national policies satisfaction actual in industry. From modeling form, existing methods are divided into four categories: single traditional method, intelligent combined method mixed method. Among them, mainly include simple time series regression analysis, mathematical...

Computable general equilibrium (CGE) models of world trade, often presented as demonstrating the benefits of trade liberalization, now make much more modest forecasts than they did just a few years ago. The estimated benefits are not only small in the aggregate, but also skewed toward developed countries; the expected contribution of trade liberalization to economic development and poverty alle...

This work examines recent publications in forecasting in various fields, these include: wind power forecasting; electricity load forecasting; crude oil price forecasting; gold price forecasting energy price forecasting etc. In this review, categorization of the processes involve in forecasting are divided into four major steps namely: input features selection; data pre-processing; forecast mode...

Although over a thousand scientific papers address the topic of load forecasting every year, only a few are dedicated to finding a general framework for load forecasting that improves the performance, without depending on the unique characteristics of a certain task such as geographical location. Meta-learning, a powerful approach for algorithm selection has so far been demonstrated only on uni...

In recent years, many studies have been done on forecasting fuzzy time series. First-order fuzzy time series forecasting methods with first-order lagged variables and high-order fuzzy time series forecasting methods with consecutive lagged variables constitute the considerable part of these studies. However, these methods are not effective in forecasting fuzzy time series which contain seasonal...

Goebel et al. [4] presented a unified decomposition of ensemble loss for explaining ensemble performance. They considered democratic voting schemes with uniform weights, where the various base classifiers each can vote for a single class once only. In this article, we generalize their decomposition to cover weighted, probabilistic voting schemes and non-uniform (progressive) voting schemes. Emp...

We consider how to make probability forecasts of binary labels. Our main mathematical result is that for any continuous gambling strategy used for detecting disagreement between the forecasts and the actual labels, there exists a forecasting strategy whose forecasts are ideal as far as this gambling strategy is concerned. A forecasting strategy obtained in this way from a gambling strategy demo...