The USgrid R package provides a set of high frequency (hourly) time-series datasets, describing the demand and generation of electricity in the US (lower-48 states, excluding Alaska and Hawaii). That includes the following series:
US_elec
- the total hourly demand and supply (generation) for
electricity in the US since July 2015
US_source
- the US net generation of electricity by energy source
(natural gas, coal, solar, etc.) since July 2018
Cal_elec
- The California subregion hourly demand by operator
since July 2018
All datasets are in tsibble format
Source: US Energy Information Administration,Mar 2021
Install the stable version from CRAN:
install.packages("USgrid")
or install the development version from Github:
# install.packages("remotes")
remotes::install_github("RamiKrispin/USgrid")
The hourly demand and generation (supply) of electricty in the US:
library(USgrid)
library(plotly)
data(US_elec)
plot_ly(data = US_elec,
x = ~ date_time,
y = ~ series,
color = ~ type,
colors = c("#66C2A5","#8DA0CB"),
type = "scatter",
mode = "lines") %>%
layout(title = "US Electricity Demand vs. Supply (Hourly)",
yaxis = list(title = "Mwh"),
xaxis = list(title = "Source: US Energy Information Administration (Mar 2021)"))
The hourly generation (supply) of electricty in the US by source:
data("US_source")
plot_ly(data = US_source,
x = ~ date_time,
y = ~ series,
color = ~ source,
type = "scatter",
mode = "lines") %>%
layout(title = "US Electricity Generation by Energy Source",
yaxis = list(title = "Mwh"),
xaxis = list(title = "Source: US Energy Information Administration (Mar 2021)"))
The California subregion hourly demand by operator
data("Cal_elec")
plot_ly(data = Cal_elec,
x = ~ date_time,
y = ~ series,
color = ~ operator,
type = "scatter",
mode = "lines") %>%
layout(title = "California Hourly Demand by Operator",
yaxis = list(title = "Mwh"),
xaxis = list(title = "Source: US Energy Information Administration (Mar 2021)"))
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.