University of Michigan http://item.bettergrids.org/handle/1001/96 2026-04-09T00:11:12Z 2026-04-09T00:11:12Z Mooney, Meghan http://item.bettergrids.org/handle/1001/680 2023-08-28T18:02:45Z 2020-04-02T00:00:00Z

Title: PV Rooftop Database Authors: Mooney, Meghan Abstract: NREL PV Rooftop Database (PVRDB) is a lidar-derived, geospatially- resolved dataset of suitable roof surfaces and their PV technical potential for 128 metropolitan regions in the United States. The PVRDB is downloadable at the AWS S3 Bucket by city and year of lidar collection. Five geospatial layers are available for each city and year.

2020-04-02T00:00:00Z Sangrody, H http://item.bettergrids.org/handle/1001/679 2023-08-28T18:02:29Z 2019-04-25T00:00:00Z

Title: Belgium Solar PV Power Generation Data Set – Belgium Authors: Sangrody, H Abstract: 15min data from 2012 to present

2019-04-25T00:00:00Z Birchfield, Adam http://item.bettergrids.org/handle/1001/678 2023-08-28T18:02:07Z 2022-02-28T00:00:00Z

Title: Datasets for ARPA-E PERFORM Program - SPP Authors: Birchfield, Adam Abstract: 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.

2022-02-28T00:00:00Z Birchfield, Adam http://item.bettergrids.org/handle/1001/677 2023-08-28T18:01:49Z 2022-02-02T00:00:00Z

Title: Datasets for ARPA-E PERFORM Program - NYSO Authors: Birchfield, Adam Abstract: 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.

2022-02-02T00:00:00Z