Accurate prediction of the future electricity consumption is crucial for production electricity management. Since the storage of electrical energy is very difficult, reliable and accurate prediction of power consumption is important. Different approaches for this purpose were used. In this paper, Grey model (1,1) based on grey system theory has been used for forecasting results. Annual electric...

Broadly defined, macroeconomic forecasting is alive and well. Nonstructural forecasting, which is based largely on reduced-form correlations, has always been well and continues to improve. Structural forecasting, which aligns itself with economic theory and hence rises and falls with theory, receded following the decline of Keynesian theory. In recent years, however, powerful new dynamic stocha...

This paper presents a new combined forecasting method that is guided by the soft set theory (CFBSS) to predict business failures with different sample sizes. The proposed method combines both qualitative analysis and quantitative analysis to improve forecasting performance. We considered an expert system (ES), logistic regression (LR), and support vector machine (SVM) as forecasting components ...

Does economic theory help in forecasting key macroeconomic variables? This article aims to provide some insight into the question by drawing lessons from the literature. The definition of "economic theory" includes a broad range of examples, such as accounting identities, disaggregation and spatial restrictions when forecasting aggregate variables, cointegration and forecasting with Dynamic Sto...

Forecasting has always been at the forefront of decision making and planning. The uncertainty that surrounds future is both exciting challenging, with individuals organisations seeking to minimise risks maximise utilities. large number forecasting applications calls for a diverse set methods tackle real-life challenges. This article provides non-systematic review theory practice forecasting. We...

The theory of grey system is used when sufficient information of the community under study is not in hand. The grey forecast model is proper when the information variety is fix and certain. Grey model can apply some additional computations to improve forecasting activities when data is insufficient. Through using improved grey model, the assessment error decreases significantly. This study made...

I address commentators’ concerns about the research reported in my paper. These concerns do not threaten the conclusion that role-playing should be preferred ahead of game theory and unaided judgement for forecasting decisions in conflicts. I provide additional evidence and argument that the relative forecasting accuracy of game theory is a legitimate subject for research. I discuss non-forecas...

Confidence in macro-economic forecasting has periodically been punctured by episodes of economic turbulence and concomitant predictive failure. The poor performance in predicting the consumer boom in the late 1980’s, and the depth and duration of the recession in the 1990’s, can be viewed as merely the latest examples in a catalogue of failures, with noteworthy antecedents including the under-p...

Load forecasting in power systems is an important subject and has been studied from different points of view in order to achieve better load forecasting results. ”Ius paper will address one of the challenges in spatial load forecasting area urban re-development, and present a theory and methodology to incorporate urban re-development into spatial load forecasting considerations.