S&P Global CERA Power Source

What it does

S&P Global CERA Power Source, formerly Enertel AI, takes power market inputs such as chosen hubs, nodes, and tie-lines across North American wholesale markets and returns probabilistic price forecasts for those points. Its forecasts model the full grid rather than individual nodes in isolation. A bidding tool sits alongside the forecasts, offering a library of pre-tested renewables and DART bidding strategies that users can run to simulate trades and compare P&L outcomes before committing.

Day-ahead traders use node-level forecasts to plan hub-to-node trades, while real-time traders use hourly and sub-hourly price updates to adjust positions in fast-moving markets such as CAISO and ERCOT. Developers benchmark projects against forecast-driven returns, and battery optimizers test storage strategies against sub-hourly forecast extracts. Two years of historical vintaged forecasts are available for backtesting.

The product is aimed at power traders, asset operators, developers, and battery optimizers working in day-ahead, real-time, and storage markets. Access begins with a custom two-week trial tailored to the trading nodes and risk profile a user specifies, and the trial does not require integrations. Commercial pricing is not published, so terms need to be confirmed directly with the vendor.

What it can do

• Probabilistic price forecasts for major nodes, hubs, and tie-lines across North American wholesale markets
• Full-grid simulation models rather than isolated node forecasts
• Library of pre-tested renewables and DART bidding strategies
• Bidding tool to simulate trades and compare P&L outcomes
• Hourly and sub-hourly price updates for real-time trading
• Two years of historical vintaged forecasts for backtesting

Example workflows

Day-ahead hub-to-node trade preparation

Input: chosen hub and target node. Steps: review node-level day-ahead probabilistic forecasts, then use the bidding tool to simulate trades. Output: simulated P&L comparisons to inform bidding strategy.

Battery optimization testing

Input: historical vintaged forecast extracts at sub-hourly resolution. Steps: run optimization tests against the forecast data. Output: optimization results to evaluate storage strategy.

Before you choose

• The trial does not require integrations.
• Two years of historical vintaged forecasts are available for backtesting.
• The product was rebranded from Enertel AI to S&P Global Energy CERA Power Source; older references may use the previous name.

Listed under

• Data
• Battery optimization
• Bidding
• Day-ahead
• Energy trading
• Power markets
• Price forecasting

Get started

A two-week bidding or forecasts trial tailored to trading nodes and risk profile.

1. Request a custom two-week bidding or forecasts trial via the site.
2. Specify trading nodes and risk profile for the trial.
3. Review the documentation linked from the site at app.enertel.ai/docs/intro.

Pricing terms are not published. A custom two-week bidding or forecasts trial is offered on request; confirm its cost and terms with the vendor.

We couldn’t find published prices for S&P Global CERA Power Source. See their pricing page ↗

Sources for this overview

Product pages, documentation, and pricing checked 29 Oct 2026. Each source supports part of the overview; availability and prices can change.

• S&P Global CERA Power Source ↗www.enertel.ai

Company website

enertel.ai: product, pricing and policy pages

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Last checked 29 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.