energy.markets: energy.markets: A data package for U.S. electricity capacity,...
In JGCRI/electricity_hindcasting_data: U.S.A. Electricity Hindcasting Data
Description
Data sources
Calculations
Description
The energy.markets package provides cleaned and processed data for electricity, generation, and investment,
as well as calculations of plant-level capacity factors and levelized cost. The final levelized cost data is
used externally as the target dataset for a multinomial logistic regression, as part of JGCRI hindcasting
experiments.
Data sources
Capacity and generation data are processed from raw data files providing the responses to EIA forms.
Investment data is processed from Annual Energy Outlook forms published by the EIA.
Fuel price data is processed from tables provided in back issues of the EIA Electric Power Monthly.
A GDP deflator series for the St. Louis Federal Reserve is used to normalize USD$ values to 2010.
Calculations
Documentation.
JGCRI/electricity_hindcasting_data documentation built on May 7, 2019, 3:11 p.m.
R Package Documentation
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Description Data sources Calculations
Description
The energy.markets package provides cleaned and processed data for electricity, generation, and investment, as well as calculations of plant-level capacity factors and levelized cost. The final levelized cost data is used externally as the target dataset for a multinomial logistic regression, as part of JGCRI hindcasting experiments.
Data sources
Capacity and generation data are processed from raw data files providing the responses to EIA forms.
Investment data is processed from Annual Energy Outlook forms published by the EIA.
Fuel price data is processed from tables provided in back issues of the EIA Electric Power Monthly.
A GDP deflator series for the St. Louis Federal Reserve is used to normalize USD$ values to 2010.
Calculations
Documentation.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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