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
National Renewable Energy Laboratory (NREL). (2022). ARPA-E PERFORM datasets [data set]. Retrieved from https://dx.doi.org/10.25984/1891136.
Sergi, Brian, Feng, Cong, Zhang, Flora, Hodge, Bri-Mathias, Ring-Jarvi, Ross, Bryce, Richard, Doubleday, Kate, Rose, Megan, Buster, Grant, and Rossol, Michael. ARPA-E PERFORM datasets. United States: N.p., 18 Aug, 2022. Web. doi: 10.25984/1891136.
Sergi, Brian, Feng, Cong, Zhang, Flora, Hodge, Bri-Mathias, Ring-Jarvi, Ross, Bryce, Richard, Doubleday, Kate, Rose, Megan, Buster, Grant, & Rossol, Michael. ARPA-E PERFORM datasets. United States. https://dx.doi.org/10.25984/1891136
Sergi, Brian, Feng, Cong, Zhang, Flora, Hodge, Bri-Mathias, Ring-Jarvi, Ross, Bryce, Richard, Doubleday, Kate, Rose, Megan, Buster, Grant, and Rossol, Michael. 2022. "ARPA-E PERFORM datasets". United States. https://dx.doi.org/10.25984/1891136. https://data.openei.org/submissions/5772.
@div{oedi_5772, title = {ARPA-E PERFORM datasets}, author = {Sergi, Brian, Feng, Cong, Zhang, Flora, Hodge, Bri-Mathias, Ring-Jarvi, Ross, Bryce, Richard, Doubleday, Kate, Rose, Megan, 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. }, doi = {10.25984/1891136}, url = {https://data.openei.org/submissions/5772}, journal = {}, number = , volume = , place = {United States}, year = {2022}, month = {08}}
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
