What PJM Data Provides
PJM publishes operational and wholesale-market data for its power system, including real-time and day-ahead locational marginal prices, load and load forecasts, generation capacity and fuel mix, ancillary services, reserves, and market information.
Its pricing data covers different market locations, including buses, zones, hubs, and aggregate locations. PJM also provides data related to energy, capacity, and financial transmission rights markets.
Source links:
- PJM Markets & Operations
- PJM Data Miner
- Real-Time Hourly LMPs
- Day-Ahead Hourly LMPs
- Load and Load Forecast
Data types covered:
Real-time and day-ahead LMPs, load and load forecasts, generation capacity and fuel mix, ancillary services, reserves, market prices, and transmission-market data.
Update frequency:
Varies by data product, including five-minute, hourly, daily, monthly, and annual data.
Connection requirements:
Free, approved PJM API key for API-based collection.
Region details:
Mid-Atlantic and Midwest U.S.; 13 states and the District of Columbia.
Common use cases for PJM Data:
- Day-ahead and real-time market analysis
- Price and congestion analysis
- Load and generation forecasting
- Trading support
Shooju connect to the data source you need either via one of 320+ prebuilt processors or set up a new one.
Shooju tailors the collection strategy to each dataset and business need. Critical data can be collected with near-real-time access where the source supports it, while broader datasets can run on a scheduled cadence with an appropriate embedded delay.
Here is how the process works for adding new data source to you new or existing energy data pipeline:
1. You send a new processor request to Shooju
2. Shooju evaluates the access method, format, update schedule, and downstream workflow before configuring the pipeline.
3. It usually takes from 2 to 8 days to scope, develop/adjust and set up a processor for data source you need.
4. Once connected, Shooju monitors ongoing ingestion, handles changes or failures, maintains the pipeline as part of managed delivery.
Normalization and metadata enrichment
Shooju maps source data into its proprietary data infrastructure and enriches it based on how your business uses it.This can include products, units, locations, zones, assets, timestamps, report dates, and internal naming conventions, so data can be used consistently across workflows.
Where the data can be delivered
- Excel Add-in
- REST API
- Python
- PowerBi
- Snowflake/customer database
- internal systems
- Shooju Views / dashboards
What Shooju does not do
Related data sources
MISO
CAISO
PJM
ERCOT
EIA
