/
data.R
94 lines (89 loc) · 3.66 KB
/
data.R
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
#' NN3 data
#'
#' Data from the NN3 forecasting competition, comprising 111 monthly time series.
#' Training and test data are combined. In the competition, the last 18 months
#' were used as test data. Time series NN3-101 to NN3-111 made up the reduced data
#' set from the competition.
#'
#' @format A list of time series data, each of class \code{ts}.
#' @source \url{http://www.neural-forecasting-competition.com/NN3}.
#' @keywords datasets
#' @examples
#' plot(nn3[[1]])
#'
"nn3"
#' NN5 data
#'
#' Data from the NN5 forecasting competition, comprising 111 daily time series.
#' Training and test data are combined. In the competition, the last 56 days
#' were used as test data. Time series NN5-101 to NN5-111 made up the reduced data
#' set from the competition.
#'
#' @format A list of time series data, each of class \code{msts}.
#' @source \url{http://www.neural-forecasting-competition.com/NN5}.
#' @keywords datasets
#' @examples
#' plot(nn5[[1]])
#'
"nn5"
#' NNGC1 data
#'
#' Data from the NNGC1 forecasting competition, comprising 11 annual time series, 11
#' quarterly time series, 11 monthly time series, 11 weekly time series, 11 daily
#' time series and 11 hourly time series. Only training data are provided.
#'
#' @format A list of time series data, each of class \code{ts} or \code{msts}.
#' @source \url{http://www.neural-forecasting-competition.com/}.
#' @keywords datasets
#' @examples
#' plot(nngc1[[1]])
#'
"nngc1"
#' GEFCOM2012 load data
#'
#' Data from the GEFCOM2012 forecasting competition, comprising 20 time series containing
#' hourly load data from 20 zones in the United States. Only training data are provided.
#' The missing data in each series formed the test sets.
#'
#' @format A list of time series data, each of class \code{msts}.
#' @source \url{https://www.kaggle.com/c/global-energy-forecasting-competition-2012-load-forecasting},
#' \url{http://www.drhongtao.com/gefcom/2012}.
#' @references Hong, T., Pinson, P., & Fan, S. (2014). Global energy forecasting competition 2012.
#' \emph{International Journal of Forecasting}, 30(2), 357-363.
#' \url{https://doi.org/10.1016/j.ijforecast.2013.07.001}.
#' @keywords datasets
#' @examples
#' plot(gefcom2012_load[[1]])
"gefcom2012_load"
#' GEFCOM2012 temperature data
#'
#' Data from the GEFCOM2012 forecasting competition, comprising 11 time series containing
#' hourly temperature data from 11 weather stations in the United States.
#'
#' @format A list of time series data, each of class \code{msts}.
#' @source \url{https://www.kaggle.com/c/global-energy-forecasting-competition-2012-load-forecasting},
#' \url{http://www.drhongtao.com/gefcom/2012}.
#' @references Hong, T., Pinson, P., & Fan, S. (2014). Global energy forecasting competition 2012.
#' \emph{International Journal of Forecasting}, 30(2), 357-363.
#' \url{https://doi.org/10.1016/j.ijforecast.2013.07.001}.
#' @keywords datasets
#' @examples
#' plot(gefcom2012_temp[[1]])
"gefcom2012_temp"
#' GEFCOM2012 wind power data
#'
#' Data from the GEFCOM2012 forecasting competition, comprising 7 hourly time series containing
#' wind power data from 7 wind farms. Only training data are provided.
#' The missing data in each series formed the test sets.
#'
#' @format A list of time series data, each of class \code{msts}.
#' @source \url{https://www.kaggle.com/c/GEF2012-wind-forecasting/data},
#' \url{http://www.drhongtao.com/gefcom/2012}.
#' @references Hong, T., Pinson, P., & Fan, S. (2014). Global energy forecasting competition 2012.
#' \emph{International Journal of Forecasting}, 30(2), 357-363.
#' \url{https://doi.org/10.1016/j.ijforecast.2013.07.001}.
#' @keywords datasets
#' @keywords datasets
#' @examples
#' plot(gefcom2012_wp[[1]])
"gefcom2012_wp"