Noreva Data Feeds and API: Integrate Energy Market Data Into Your Systems

Integrate Noreva’s energy market data via API, CSV, and the Data Hub: pricing, forward curves, merchant curves, and capacity auction data.

Noreva Data Feeds and API: Quick Summary

  • Noreva delivers energy market data through three channels: a REST API, CSV exports, and the Noreva Data Hub client portal
  • Available datasets include transaction-based pricing (prompt, forward, and historical), forward curves, long-term merchant curves, capacity auction results, and environmental attribute and fuels prices
  • Coverage spans power (PJM, ERCOT, MISO, CAISO, NYISO, ISO-NE, SPP), capacity, environmental attributes (RECs, LCFS, carbon), and renewable fuels (RINs, RNG)
  • Every data point carries explicit tagging for ISO, region, zone, hub, or node, plus consistent units, metrics, and timestamps, so records land in your systems analysis-ready
  • Typical destinations: ETRM and risk systems, data warehouses, BI dashboards, valuation and DSCR models, and Excel workflows

Noreva is an energy market data and forecasting platform, and its datasets are built to be integrated, not just viewed. Trading desks, risk teams, analysts, and finance teams pull Noreva pricing and curves directly into the systems where decisions are made, through a documented API, scheduled CSV delivery, or the Data Hub portal.

This page explains what data is available, how delivery works, and how a typical integration is set up.

What Data Can You Access

Dataset

What It Contains

Typical Use

Pricing data

Transaction-based prompt, forward, and historical prices across power, capacity, environmental attributes, and fuels

Mark-to-market, settlement, benchmarking, trade validation

Forward curves

Near and medium term price strips derived from broker and transactional inputs (typically 1 to 5 years)

Hedging, origination pricing, position marking

Merchant curves

Long-term modeled forecasts up to 25 years, in low, base, and high scenarios

Asset valuation, project finance, DSCR stress tests

Capacity auction data

Auction results and forward capacity pricing across US capacity markets, with locational detail

Auction preparation, revenue modeling, underwriting

Environmental attributes and fuels

REC, SREC, LCFS, carbon, RIN, and RNG pricing and forecasts

Compliance cost planning, attribute revenue modeling

Details on the forecast datasets, including scenario design and update cadence, are on the forecasts page; transaction-based price assessments are covered under pricing data.

Delivery Methods

The Noreva API provides programmatic access to pricing, curves, and forecast datasets for direct integration into trading platforms, risk systems, and internal applications. Access is credentialed per client, and endpoints return structured, machine-readable data designed for automated ingestion and scheduled refresh jobs.

Every dataset is available as model-ready CSV, either downloaded on demand from the Data Hub or delivered on a schedule. CSV delivery is the fastest route into Excel-based project finance models, budgeting workbooks, and legacy systems that ingest flat files.

The Data Hub is the client portal for browsing, charting, and downloading Noreva data: search by market and commodity, inspect curve assumptions, and export what your model needs. It is also where API credentials and dataset entitlements are managed.

Data Structure: Tagged, Consistent, Analysis-Ready

Integration problems in energy data are usually structure problems: inconsistent location naming, mixed units, and ambiguous timestamps. Noreva addresses this at the data layer. Every data point carries explicit tagging for ISO, region, zone, hub, node, or jurisdiction, with consistent units, metrics, and timestamps across all markets and commodities.

A PJM zonal price, a NYISO locality capacity price, and a California LCFS credit price all follow the same schema conventions, which means one ingestion pipeline can serve every Noreva dataset, and records join cleanly against your internal reference data.

How Integration Works

  • Scope: define the markets, commodities, and datasets your workflow needs (for example PJM zonal forwards plus capacity merchant curves)
  • Access: receive Data Hub credentials and API keys for the entitled datasets
  • Test: validate sample pulls against your schema and confirm refresh cadence with your team’s engineers
  • Production: schedule API calls or CSV deliveries into your ETRM, warehouse, or BI layer, with Noreva support available during onboarding

Common destination systems include ETRM and risk platforms, cloud data warehouses, BI tools such as Power BI and Tableau, DSCR and valuation engines, and analyst Excel models. Because the schema is consistent across datasets, adding a new market later is an entitlement change, not a new integration project.

Where Noreva Fits in the Energy Market Data Stack

Teams integrating market data into a trading platform typically combine three layers, and knowing which layer solves which problem avoids expensive mismatches:

  • ISO, RTO, and public data portals: free operational data straight from the market operator (real-time and day-ahead LMPs, load, fuel mix) and public statistical APIs such as the EIA open data service. Essential raw feeds, but unassessed and structured differently by each source.
  • Exchange and clearing feeds: traded futures and options data for listed energy contracts, built for instruments that trade on screen, not for illiquid forward or long-dated value.
  • Assessed pricing and forecast platforms (Noreva’s category): transaction-calibrated price assessments, forward curves, and scenario merchant curves that cover where screens go quiet: forward capacity, environmental attributes, renewable fuels, and long-dated power. This is the layer that turns raw market data into marks and bankable assumptions.

In practice, a trading platform ingests operator feeds for real-time operations, exchange data for listed instruments, and Noreva for assessed prices, forwards, and long-term curves across power, capacity, attributes, and fuels.

Common Integration Use Cases

Desks pull Noreva forward prices and assessments into position marking and P&L workflows, adding defensible marks for capacity, attributes, and other thinly traded products alongside exchange data.

Analytics teams feed Noreva data into Power BI or Tableau through the API or scheduled CSVs. The consistent schema and explicit location tagging remove the manual cleanup step that usually breaks energy data dashboards.

Merchant curves flow into DCF and DSCR models via CSV or API, with scenario sets (low, base, high) mapped directly to downside, central, and upside cases.

Risk teams use Noreva historical and forward series for exposure reporting and compliance cost projections across REC, LCFS, and RIN obligations.

Frequently Asked Questions: Noreva Data Feeds and API

Noreva provides transaction-based pricing data (prompt, forward, and historical), forward curves, long-term scenario merchant curves, capacity auction data, and environmental attribute and fuels prices, covering US power, capacity, RECs, LCFS, carbon, RINs, and RNG. All datasets are integrated through three channels: a credentialed REST API for programmatic access, CSV exports for file-based workflows, and the Noreva Data Hub portal for browsing and download. Data is tagged by ISO, zone, hub, or node with consistent units and timestamps, so it plugs into ETRM systems, warehouses, BI dashboards, and valuation models without restructuring.

Reliable energy market data APIs fall into three categories, and most trading platforms use all three. ISO and RTO data portals and the EIA open data API provide free raw operational data such as real-time LMPs and load. Exchange feeds provide listed futures and options data. Assessed pricing and forecast platforms such as Noreva provide the third layer: transaction-calibrated prices, forward curves, and long-term scenario curves for markets where screen liquidity is thin, including forward capacity, RECs, LCFS, RINs, and long-dated power, delivered via API and CSV for direct platform integration.

Most BI integration friction comes from inconsistent schemas across sources: mismatched location names, mixed units, and ambiguous timestamps. Two practices fix it: standardize on sources that ship explicit location tagging and consistent units, and ingest through a scheduled API or CSV pipeline rather than manual downloads. Noreva data is built for this pattern: every record carries ISO, zone, hub, or node tags with uniform units and timestamps, so a single pipeline feeds dashboards across power, capacity, attributes, and fuels without per-source cleanup.

Yes. Noreva provides a credentialed REST API alongside CSV export and the Data Hub portal. API access covers the datasets in a client’s entitlement, including pricing, forward curves, merchant curves, and capacity auction data, and is designed for scheduled ingestion into trading, risk, BI, and valuation systems.

Access starts with a scoping conversation to match datasets to your workflow, followed by Data Hub credentials and API keys for the entitled data. To see the feeds and delivery options live, book a demo.

See the market. Price the future. 

See the market. Price the future. 

BOOK A DEMO

Start Integrating Noreva Data

Whether the destination is an ETRM system, a data warehouse, a BI dashboard, or a project finance model, Noreva’s API, CSV, and Data Hub delivery put assessed prices, forward curves, and long-term forecasts where your team already works. To scope an integration or request sample data, book a demo with our team.