Wind Power Forecasting Service: From Real-Time Monitoring to Seasonal Outlook

The Challenges

→ I can’t reliably predict my wind farm’s power output across different time horizons
Meteorological forecasts alone aren’t enough. Without machine learning calibrated on actual production data, forecast accuracy degrades rapidly.
→ My short-term forecasts aren’t granular enough to manage grid commitments
Imbalance penalties are costly. I need forecasts at turbine or farm level, updated frequently.
→ I need to confirm my AEP within 12 months of FAC to satisfy investors
Post-construction production validation is a bankability requirement, and I need a forecast I can defend.

Accurate Wind Power Forecast, from Very-Short-term to Seasonal timescale

Our solution

Meteodyn delivers reliable wind power forecasts by combining meteorological models with machine learning, a hybrid approach that captures both large-scale atmospheric dynamics and the specific behavior of your wind farm.

Accuracy is further improved through annual retrospective forecasting: the model is recalibrated once a year on your actual production data, correcting systematic errors and adapting to your site’s real-world conditions.

✓Multiple levels: wind turbine/wind farm, or region/country level
✓Multiple horizons: short-term (minutes, hours, days, weeks), mid-term (monthly, seasonal), long-term (year ahead)

Deliverables

Short-term forecast:

Production and meteorological parameters: wind speed and direction, temperature, pressure, relative humidity
Percentile indicators of wind farm production: 10%, 90%, or any other percentile required
Update frequency: hourly/daily

Seasonal outlook:

Percentile indicators of wind farm production and wind speed within a region
Monthly & Seasonal forecast for the next 6 months
Update frequency: once per month

Long-term outlook:

Monthly wind farm production
For the next 12 months
Update frequency: once per month

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Why Choose Our Meteodyn Forecast Service?

From Real-Time to Seasonal, in one Service

Grid operators, energy traders, and asset managers all depend on forecast accuracy, each on their own time scale. Meteodyn covers every horizon, from 10-minute-ahead grid management to 12-month planning, at turbine, farm, regional, or national level.

Time-tested over 200 wind farms

Forecast accuracy is only meaningful when it holds up in real-world conditions. Deployed on more than 200 wind farms, from complex mountainous sites to offshore environments, our precision is validated across every type of wind environment.

Your Farm, Your Data, Your AI

Meteodyn’s AI is trained exclusively on your site’s own production data, and yours alone. No data pooling, no shared learning across farms: your operational data remains strictly confidential and is used solely to sharpen the accuracy of your own forecast.

METEODYN delivers accurate wind power forecasts for every stage of your wind farm’s life

1. Forecasting for Operating Wind Farms

Producing reliable power forecasts for an operational wind farm requires more than a weather model. Standard meteorological forecasts fail to capture the specific behavior of your site: local turbulence, terrain effects, and turbine-level dynamics all introduce systematic errors that compound over time.

Meteodyn’s forecasting service trains a dedicated AI directly on your wind farm’s historical production data, combined with historical weather forecast data. This site-specific learning allows the AI to identify and correct the recurring discrepancies between raw meteorological inputs and actual power output.

Accuracy is further reinforced through annual retrospective forecasting: the AI is recalibrated each year on your latest production data, continuously adapting to real-world changes at your site. The result is a forecast that improves over time, with no degradation in precision as your wind farm ages.

2. Forecasting for Wind Farms in Start-up Phase

A wind farm entering commercial operation rarely has enough production history to train a reliable forecasting AI. Yet this is precisely when accurate forecasts matter most: grid commitments must be met, and investors expect defensible production estimates within 12 months of Final Acceptance Certificate (FAC).

For wind farms with little or no production data, Meteodyn leverages its CFD expertise to bridge the gap. Your wind farm and its topography are modelled in Meteodyn WT, our high-fidelity wind flow simulation software. Wind data from your measurement campaign is then integrated to generate the synthetic production histories required for AI training.

As actual production data accumulates, periodic recalibration sessions replace synthetic inputs with real measurements, progressively sharpening forecast accuracy. This approach ensures full forecast coverage from day one, with a model that strengthens as your wind farm matures.