Solar PV, Wind Generation, and Load Forecasting Dataset for ERCOT 2018: Performance-Based Energy Resource Feedback, Optimization, and Risk Management (P.E.R.F.O.R.M.)

Richard Bryce, Grant Buster, Kate Doubleday, Cong Feng, Ross Ring-Jarvi, Michael Rossol, Flora Zhang, Bri-Mathias Hodge

Research output: NRELTechnical Report

Abstract

This report describes the Advanced Research Projects Agency-Energy Performance-Based Energy Resource Feedback, Optimization, and Risk Management (PERFORM) Electric Reliability Council of Texas (ERCOT) dataset consisting of load, solar, and wind deterministic and probabilistic forecasts at three timescales. This dataset consists of 1 year of time-coincident load, wind, and solar actuals and probabilistic forecasts for a region similar to ERCOT. All the data are stored in Hierarchical Data Format 5 (HDF5) files and have been uploaded to an Amazon Web Services repository. The ERCOT data set has 2 years (2017, 2018) of actuals and 1 year (2018) of probabilistic forecasts. These data are provided at various spatial (i.e., site-level, zone-level, and system-level) and temporal scales (i.e., day-ahead, intraday, and intra-hour). Specifically, data are provided for 125 existing wind sites, 22 existing solar sites, 139 proposed wind sites, and 204 proposed solar sites.
Original languageAmerican English
Number of pages39
DOIs
StatePublished - 2023

NREL Publication Number

  • NREL/TP-5D00-79498

Keywords

  • balancing area
  • dataset
  • forecasting
  • load
  • probabilistic
  • solar
  • wind
  • zone-level

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