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What this tool does

Provides an indicative view of short-term MIBEL power price direction so hydrogen teams can pressure-test electricity assumptions, compare near-term timing windows, and brief commercial discussions with a current market signal.

Data coverage and cadence

Covers Portugal and Spain in the MIBEL day-ahead market. The model is retrained on historical market behaviour and refreshed daily using recent ENTSO-E actuals, weather inputs, and current market signals.

What “directional accuracy” means

Directional accuracy measures how often the model correctly called whether price would move up or down versus the previous period. It does not mean every hourly EUR/MWh value lands exactly on target.

When to use it

Use it for concept-level electricity cost screening, LCOH sensitivity checks, and near-term market context. Do not use it as a trading signal, hedge instruction, or substitute for a full energy procurement strategy.

Key assumptions and limits

The forecast combines historical MIBEL price patterns with current market and weather features, so it is strongest as a screening and decision-support layer rather than a precise execution signal.
Confidence is strongest in the near term and degrades beyond day 3, so weekly and monthly outlooks should be treated as indicative only.
The 30-day validation view is there to show forecast behaviour against real actuals, not to imply zero error or a guaranteed commercial outcome.
Use the output to challenge assumptions, time conversations, and identify risk windows, not to lock a commercial decision without wider market validation.

Tomorrow's Day-Ahead Price Forecast

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7-Day Price Outlook

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Forecast vs Actual — Last 30 Days (Hourly)

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Need a sharper view on power-price risk for your hydrogen project, offtake case, or investor deck?

Use this page for screening, then bring BuckleBridge in for deeper commercial intelligence, scenario framing, or a project-specific review.

Book a consultation Model power-price impact in LCOH

How this tool works: BuckleBridge uses a machine-learning forecast trained on historical MIBEL day-ahead prices, weather inputs, and recent market behaviour to estimate likely price direction and range. Actuals used for validation come from the ENTSO-E Transparency Platform. Updated daily, strongest in the near term, and intended for indicative screening. Use this output to inform sensitivity work and commercial timing discussions, not as a standalone trading or procurement decision tool.

Medium-Term Price Outlook

7-Day Average Forecast

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Confidence: --

Based on TTF gas, CO2 prices, hydro generation and weather patterns

30-Day Average Forecast

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Confidence: --

Longer-term outlook using fundamental market drivers

Direction accuracy: Week 58% | Month 62% • Updated daily at 19:00 CET