ARPA-E PERFORM datasets
Time-coincident load, wind, and solar data including actual and probabilistic forecast datasets at 5-min resolution for ERCOT, MISO, NYISO, and SPP. Wind and solar profiles are supplied for existing sites as well as planned sites based on interconnection queue projects as of 2021. For ERCOT actuals are provided for 2017 and 2018 and forecasts for 2018, and for the remaining ISOs actuals are provided for 2018 and 2019 and forecasts for 2019.
There datasets were produced by NREL as part of the ARPA-E PERFORM project, an ARPA-E funded program that aim to use time-coincident power and load seeks to develop innovative management systems that represent the relative delivery risk of each asset and balance the collective risk of all assets across the grid. For more information on the datasets and methods used to generate them see https://github.com/PERFORM-Forecasts/documentation.
Citation Formats
TY - DATA
AB - Time-coincident load, wind, and solar data including actual and probabilistic forecast datasets at 5-min resolution for ERCOT, MISO, NYISO, and SPP. Wind and solar profiles are supplied for existing sites as well as planned sites based on interconnection queue projects as of 2021. For ERCOT actuals are provided for 2017 and 2018 and forecasts for 2018, and for the remaining ISOs actuals are provided for 2018 and 2019 and forecasts for 2019.
There datasets were produced by NREL as part of the ARPA-E PERFORM project, an ARPA-E funded program that aim to use time-coincident power and load seeks to develop innovative management systems that represent the relative delivery risk of each asset and balance the collective risk of all assets across the grid. For more information on the datasets and methods used to generate them see https://github.com/PERFORM-Forecasts/documentation.
AU - Sergi, Brian
A2 - Feng, Cong
A3 - Zhang, Flora
A4 - Hodge, Bri-Mathias
A5 - Ring-Jarvi, Ross
A6 - Bryce, Richard
A7 - Doubleday, Kate
A8 - Rose, Megan
A9 - Buster, Grant
A10 - Rossol, Michael
DB - Open Energy Data Initiative (OEDI)
DP - Open EI | National Renewable Energy Laboratory
DO - 10.25984/1891136
KW - probabilistic forecast
KW - power systems
KW - MISO
KW - NYISO
KW - SPP
KW - wind
KW - solar
KW - load
KW - 5-min data
KW - actual
KW - forecast
KW - ERCOT
KW - ARPA-E
KW - PERFORM
KW - power
KW - time-coincident
KW - generation
KW - data
KW - delivery
KW - risk
KW - balance
KW - grid
LA - English
DA - 2022/08/18
PY - 2022
PB - National Renewable Energy Laboratory (NREL)
T1 - ARPA-E PERFORM datasets
UR - https://doi.org/10.25984/1891136
ER -
Sergi, Brian, et al. ARPA-E PERFORM datasets. National Renewable Energy Laboratory (NREL), 18 August, 2022, Open Energy Data Initiative (OEDI). https://doi.org/10.25984/1891136.
Sergi, B., Feng, C., Zhang, F., Hodge, B., Ring-Jarvi, R., Bryce, R., Doubleday, K., Rose, M., Buster, G., & Rossol, M. (2022). ARPA-E PERFORM datasets. [Data set]. Open Energy Data Initiative (OEDI). National Renewable Energy Laboratory (NREL). https://doi.org/10.25984/1891136
Sergi, Brian, Cong Feng, Flora Zhang, Bri-Mathias Hodge, Ross Ring-Jarvi, Richard Bryce, Kate Doubleday, Megan Rose, Grant Buster, and Michael Rossol. ARPA-E PERFORM datasets. National Renewable Energy Laboratory (NREL), August, 18, 2022. Distributed by Open Energy Data Initiative (OEDI). https://doi.org/10.25984/1891136
@misc{OEDI_Dataset_5772,
title = {ARPA-E PERFORM datasets},
author = {Sergi, Brian and Feng, Cong and Zhang, Flora and Hodge, Bri-Mathias and Ring-Jarvi, Ross and Bryce, Richard and Doubleday, Kate and Rose, Megan and Buster, Grant and Rossol, Michael},
abstractNote = {Time-coincident load, wind, and solar data including actual and probabilistic forecast datasets at 5-min resolution for ERCOT, MISO, NYISO, and SPP. Wind and solar profiles are supplied for existing sites as well as planned sites based on interconnection queue projects as of 2021. For ERCOT actuals are provided for 2017 and 2018 and forecasts for 2018, and for the remaining ISOs actuals are provided for 2018 and 2019 and forecasts for 2019.
There datasets were produced by NREL as part of the ARPA-E PERFORM project, an ARPA-E funded program that aim to use time-coincident power and load seeks to develop innovative management systems that represent the relative delivery risk of each asset and balance the collective risk of all assets across the grid. For more information on the datasets and methods used to generate them see https://github.com/PERFORM-Forecasts/documentation. },
url = {https://data.openei.org/submissions/5772},
year = {2022},
howpublished = {Open Energy Data Initiative (OEDI), National Renewable Energy Laboratory (NREL), https://doi.org/10.25984/1891136},
note = {Accessed: 2025-04-23},
doi = {10.25984/1891136}
}
https://dx.doi.org/10.25984/1891136
Details
Data from Aug 18, 2022
Last updated Oct 6, 2022
Submitted Aug 18, 2022
Organization
National Renewable Energy Laboratory (NREL)
Contact
Brian Sergi
Authors
Research Areas
Keywords
probabilistic forecast, power systems, MISO, NYISO, SPP, wind, solar, load, 5-min data, actual, forecast, ERCOT, ARPA-E, PERFORM, power, time-coincident, generation, data, delivery, risk, balance, gridDOE Project Details
Project Name PERFORM Synthetic Data Support
Project Number CJ0000701
