Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: ForecastTB An R Package as a Test-Bench for Time Series Forecasting
  Application of Wind Speed and Solar Radiation Modeling   This paper introduces an R package ForecastTB that can be used to compare the
accuracy of different forecasting methods as related to the characteristics of
a time series dataset. The ForecastTB is a plug-and-play structured module, and
several forecasting methods can be included with simple instructions. The
proposed test-bench is not limited to the default forecasting and error metric
functions, and users are able to append, remove, or choose the desired methods
as per requirements. Besides, several plotting functions and statistical
performance metrics are provided to visualize the comparative performance and
accuracy of different forecasting methods. Furthermore, this paper presents
real application examples with natural time series datasets (i.e., wind speed
and solar radiation) to exhibit the features of the ForecastTB package to
evaluate forecasting comparison analysis as affected by the characteristics of
a dataset. Modeling results indicated the applicability and robustness of the
proposed R package ForecastTB for time series forecasting.

31
The categories of this paper are: ao-sci
28
The categories of this paper are: alg-geom
10
The categories of this paper are: q-bio
5
The categories of this paper are: gr-qc
20
The categories of this paper are: acc-phys
26
The categories of this paper are: bayes-an
8
The categories of this paper are: hep-ex
27
The categories of this paper are: comp-gas
9
The categories of this paper are: nlin
19
The categories of this paper are: eess
13
The categories of this paper are: quant-ph
35
The categories of this paper are: mtrl-th
15
The categories of this paper are: nucl-ex
23
The categories of this paper are: solv-int
22
The categories of this paper are: chao-dyn
37
The categories of this paper are: supr-con