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The conventional FES is proved to be a very promising tool for dealing with forecasting (Herrera 2008).
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Accuracy is one of the most vital factors when dealing with forecast using time series models.
To date, an outstanding issue in hydrologic data assimilation is a proper way of dealing with forecast bias.
Objective of using fuzzy time series is to deal with forecasting under the fuzzy environment that contains uncertainty, vagueness and imprecision.
However, the deficiencies of traditional forecasting methods are that they cannot deal with forecasting problems in which historical data are linguistic values.
Three of the questions deal with forecasts of what will change over the next six months, but they differ in perspective.
The aim of this article is to investigate this topic by analyzing the use of (weather) information by and the present logic of anticipation of the emergency services in Germany and to discuss the findings in relation to the question of how these services deal with forecast uncertainty and weather risks.
There are many works dealing with weather forecasting, and Widén et al. [2] provide a comprehensive survey of forecasting techniques in the literature.
Dealing with technology forecasts and anticipation of upcoming breakthrough technologies is one of the key tasks for those involved in technology-intensive industries.
This paper deals with a forecasting method which selects the optimal forecasting model type and the level of integration of advance demand information, depending on the patterns of the particular time series.
Results show that in a competitive market setting compensation payments for flexible power consumption are higher when dealing with higher wind forecast error levels.
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