IHS Markit datasets available via the Data Lake
Historic US zonal wind generation, locational marginal prices and demand sourced from Independent System Operators (ISOs) PJM and ERCOT.
Energy & Natural Resources
REST, Python, S3 Proxy, SQL
- Climate and Sustainability
- Independent System Operator
- Locational Marginal Price
- Power Markets
|Dataset Name||Dataset Description||Data Format||Publishing Frequency|
|PJM Day Ahead Zonal Price Forecast||PJM Power Market Day Ahead Market (DAM) zonal pricing. PJM aggregates the shadow prices or locational marginal prices (LMP) within a zonal to produce a day ahead market zonal price. PJM has 22 zones that it reports prices for at an hourly level in the day ahead market.||Parquet||Daily|
|Electric Reliability Council of Texas Historical Load Forecasts and Actuals||Historical 7-day load forecasts for the ERCOT ISO (Electric Reliability Council of Texas - Independent System Operator). ERCOT produces these forecasts hourly, the selected forecasts are pulled for the hour before the day ahead market settles, representing the most accurate forecast that generators have access to when placing their bids for the next day in the DAH (day ahead) market.||Parquet||Daily|
|PJM Wind Generation Actuals||Actual historical PJM Power Market wind generation data. This data is highly aggregated, beyond the zonal level, and contains nested rollups. Totals should not be taken across this data for this reason. Refer to the PJM website for descriptions of the scope and limitations of this data. Because of observed publication delays on the PJM dataminer 2 website, this data is collected and published on a seven day lag.||Parquet||Weekly|
|Electric Reliability Council of Texas Day Ahead Market Locational Marginal Prices||Electric Reliability Council of Texas (ERCOT) Day-Ahead Market (DAM) locational marginal pricing history. ERCOT collects bid and ask data from all participants at 10:00 AM the previous day, this data is used to run a nodal powerflow model which generates shadow prices at all points of interest in the system, called LMP or Locational Marginal Prices.||Parquet||Daily|
|PJM Historical Load Forecasts and Actuals||Historical PJM Power Market demand forecast. Every three hours the PJM independent system operator releases a seven day forecast of hourly load across the system. This dataset contains the last forecast published before the day ahead market closes (the 9:45 AM forecast), representing the most accurate outlook that market participants have access to before submitting their bids to the day ahead market. It also contains adjacent forecasts that might be useful for other purposes. These forecasts overlap, so a specific forecast generation time must be selected to avoid multiple datapoints for a single hour.||Parquet||Daily|
|PJM Day Ahead Market Locational Marginal Prices||PJM Power Market Day Ahead Market (DAM) locational marginal pricing history. PJM collects bid and ask data from all market participants and runs a nodal powerflow model which generates shadow prices at all points of interest in the electrical system. These prices are called LMP or Locational Marginal Prices.||Parquet||Daily|
|Electric Reliability Council of Texas Wind Generation Forecasts||Electric Reliability Council of Texas (ERCOT) actual wind generation and seven day forecasts. ERCOT produces these forecasts hourly, the selected forecasts are pulled for the hour before the day ahead market settles, representing the most accurate forecast that generators have access to when placing their bids for the next day in the DAH (day ahead) market.||Parquet||Daily|
|Electric Reliability Council of Texas Day Ahead Market Settlement Point Prices||Electric Reliability Council of Texas (ERCOT) Day Ahead Settlement Point Prices. Locational Marginal Price (LMP) data from the ERCOT Day Ahead model is aggregated to settlement points across the system because of the volume and complexity of the LMP and power system.||Parquet||Daily|
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