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Various automatic forecasting algorithms have been studied in the related work [20], including different kinds of exponential smoothing.
The work of Brown [16] and Gardner [17] led to the use of exponential smoothing in automatic forecasting for example, like Stellwagen & Goodrich's research at 1999 [15 17].
The NN model in this paper is estimated using the automatic forecasting model, nnetar which is provided through the forecast package in R. For a detailed explanation on how the nnetar model operated, see the 'Package forecast' documentation (http://cran.r-project.org/web/packages/forecast/forecast.pdf).org/web/packages/forecast/forecast.pdf
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Chris Blowes, director of forecast firm Weather Commerce, which is involved with the planned RMS standards, said: "There are now lots of amateurs in this game who are very good at IT and can come up with all sorts of kinky websites that produce automatic forecasts, but they're being a bit naughty, really, as you couldn't use those forecasts to plan anything".
Each of the 20 time series corresponding to each of the SGW hourly data was processed using the delta algorithm and the automatic ARIMA forecasting routines available in the R "forecast" package.
In order to capture hidden and upcoming trends of product demand, the algorithm combines three different models: decision tree for large-scale data, discrete choice analysis for demand modeling, and automatic time series forecasting for trend analysis.
In this context, this paper designs and examines an automatic approach to forecast the daily outbreak of political risk from social media at a topic level.
Finally, Papacharalampous et al. (2018) investigate the multi-step ahead predictability of monthly precipitation and temperature by applying seven automatic univariate time series forecasting methods to a sample of 1552 monthly precipitation and 985 monthly temperature time series of 480 values.
The office's forecast assumes the automatic spending cuts known as sequestration will remain in force, while the president's figures assume they will not.
In this report from an ongoing study within the ESA Space Weather Applications Pilot Project, we discuss presently used concepts and new ideas for fully automatic provision of geomagnetic activity forecasts hours to days ahead.
In the present paper, we briefly describe the automatic CMT estimation procedure, then describe the tsunami forecast system, show the forecast accuracy, and discuss its applicability to disaster mitigation.
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