Historical and forecasted data

View historical price and generation data for any project up to 20 years into the past or 20 years into the future. Historical data can even be modeled to pre-date a project’s commission date to simulate a longer back-cast of project performance. And forecasted power prices and generation are available across a range of power market conditions and weather scenarios to get a complete and realistic range of possible future outcomes.

Locational Marginal Emissions data

In addition to accessing generation and power market data across the entire United States, at all renewable project locations, Project and Carbon Explorer offer the ability to view and analyze historical and forecasted LME data for operational wind and solar projects in ERCOT, PJM, and CAISO. Quickly access high quality carbon emissions data paired with generation at the monthly (forecasted and historical) and hourly (historical only) level.

Any wind or solar project

Access detailed performance data for nearly 2,000 existing and operational projects. No existing project? No problem. Simulate a wind or solar project anywhere in the contiguous U.S. using our advanced modeling methodology. One solution provides complete geographic insight into the U.S. renewable energy market.

Data at the granularity you need

Temporal and geographic data available at multiple granularities and resolutions. Whether you’re looking for temporal data at the monthly, hourly or peak/off-peak level or geographic data for the county, hub or ISO, aggregate and disaggregate data to the resolution that makes sense for your business and decision-making needs.

Workflow integration

Put our data to work. Download data directly for ad-hoc reporting and presentation needs or integrate more fully using our API and your programming language of choice for a seamless workflow experience between other platforms or in-house analytical tools.

30+ project metrics

Metrics are made available at multiple levels to anticipate your needs. View metrics on an individual project level or across multiple projects or geographies to compare performance. Common metrics include Basis, Shape, Merchant Revenue, As-Gen Price, ATC Price, 12×2 Price, 12×24 Price, Negative Price, Generation, PPA settlement, FVS settlement and more.

Settlement simulation

Model the most common types of risk transfers in the market: fixed volume swaps and virtual PPAs. For fixed volume swaps, easily define your market, price type, hedge amount and view outcomes for both the short and long price perspectives. For virtual PPAs, easily define your market, settlement point, price and view outcomes from either a generator or offtaker perspective.

Analyze forecasted price performance of a synthetic project in ERCOT, using the High Gas market scenario and P99 price type.

Comparing historical carbon abatement levels for solar projects in CAISO.

Download project data ad-hoc across different time ranges with multiple metrics with the Hourly Bulk Download feature.

View hourly LME performance for a wind project in ERCOT by using the sweep chart to focus on a specific hour range.