Wind power forecasts for single wind farms and entire portfolios
alitiq forecasts the output of your wind farms up to 10 days ahead and aligns the forecast with your latest measurements every 15 minutes. It is built on the turbine type and hub height of every turbine, several weather models and the actual behaviour of your wind farm.
The alitiq wind power forecast at a glance
- up to 10 days
- Forecast horizon, time resolution of your choice (default: 15 minutes)
- 9.3 %
- nRMSE of the day-ahead forecast in the case study: 32 MW wind farm in eastern Germany
- 15 min
- Intraday updates with the measurements you send continuously
- €18
- per MW and month, all-inclusive, the first 30 days free
How the alitiq wind power forecast works
Three steps, and you only do the first two once.
Create wind farms
Location and turbines with turbine type, hub height, rotor diameter and installed power: in the web portal or via the API. Wind farms with different turbine types are added type by type, and a fixed nighttime curtailment, for example for noise protection, is stored directly with the farm.
Send measurements
Send the measurements of the last 90 days and then, at least daily, the values of the past 24 hours, plus curtailments and unavailabilities. That is how the model learns how exactly your wind farm behaves.
Retrieve forecasts
For single wind farms or the entire portfolio, in your time zone, unit and time resolution: via REST API, Python package or as a file. The baseline forecast is ready minutes after you create a wind farm, the optimized forecast with measurements from the next day.
What our forecast quality rests on
A good wind power forecast comes from meteorology, turbine technology and measurements working together.
Your turbines, not an average
Every turbine enters the calculation with its turbine type, hub height and installed power. Power curves are stored for more than 190 turbine types; if yours is not among them, we use a default power curve based on the installed power.
Several weather models instead of one
We use, among others, ICON-D2, ICON-EU and ICON Global from the German Weather Service, HARMONIE-AROME from DMI, ARPEGE from Météo-France and the ECMWF IFS. Our optimized model combines their strengths with the measurements of your wind farm, so the forecast reflects how it actually feeds in.
Curtailments kept separate
If your wind farm is curtailed, for example by the grid operator, for maintenance or for marketing reasons, report it via the API. The model then doesn't learn from distorted measurements, and the forecast stays realistic.
Intraday every 15 minutes
If you send measurements continuously, alitiq aligns the forecast with the latest observations every 15 minutes. Deviations from the weather forecast reach your intraday decisions in time.
Case study: day-ahead forecast vs. measurement
A wind farm in eastern Germany with 16 Vestas V90 turbines (2 MW each, 32 MW in total), 35 days from 8 September to 12 October 2026: our day-ahead forecast, as it was calculated on the previous day, next to the measured values.
- nRMSE
- 9.3 %
- MAE
- 6.1 %
- Bias
- -1.2 %
- Measurement
- Day-ahead forecast
- Deviation (absolute)
Accuracy you can check yourself
You shouldn't have to simply trust a forecast. That's why the API gives you not only the latest forecast but every earlier calculation, so you can compare it with the measurements you sent us.
The most meaningful test runs over several weeks on your own wind farms. That's exactly what the free first 30 days are for. Our guide explains how to evaluate forecasts fairly and why a single metric is rarely enough.
- Earlier forecasts available per calculation time
- Measurements you sent can be inspected at any time
- Direct line to our team: support@alitiq.com
Wind forecast API, Python or files
The forecast goes where you need it, without a big IT project.
REST API
Retrieve forecasts for single wind farms or the entire portfolio, send measurements and curtailments, using your own wind farm IDs. Authentication with an API key.
Python package
With pip install alitiq and the alitiq-py package, you get forecasts directly as pandas-compatible data.
File delivery
Forecasts as files via sFTP, email or S3, with no development effort on your side.
Web portal
Create wind farms on the map, pick the turbine type from the list, look at the latest forecast and optionally protect your account with two-factor authentication.
Example: retrieve a portfolio forecast with Python
# pip install alitiq
from alitiq import alitiqWindAPI
wind_api = alitiqWindAPI(api_key="your-api-key")
forecast = wind_api.get_forecast_portfolio(
power_measure="MW",
timezone="Europe/Berlin",
interval_in_minutes=15,
portfolio_sum_column=True,
)Who the alitiq wind power forecast is made for
Direct marketers
Forecasts for your entire wind portfolio in one request, optionally with a sum column, for schedule nominations and intraday trading.
Utilities and energy suppliers
Your own wind farms and shareholdings for procurement and balancing group management, combinable with the alitiq solar and load forecasts.
Wind farm operators
A reliable forecast for your wind farm, whether with uniform or mixed turbine types, and the comparison with your measurements.
Keep balancing costs under control
Every deviation from your nominated schedule costs balancing energy. See how more accurate forecasts shrink your imbalances and how much you could save:
Reduce balancing costs and calculate your savingsSimple, transparent pricing
The same price as for the solar forecast: start with a free trial, then pay only for the installed capacity you forecast.
All-inclusive forecasting service
18 € /month per MW
One price, based on your installed capacity. No hidden fees, no different tiers.
- All forecasting services included: single wind farms, portfolio, all weather models
- Optimized forecasts with your measurements, intraday every 15 minutes
- Volume discounts for larger portfolios
- Try it free for 30 days on your own wind farms
Frequently asked questions about wind power forecasts
What is a wind power forecast?
A wind power forecast predicts how much electricity a wind farm will generate over the coming hours to days. It combines weather forecasts, above all of wind speed at hub height, with the technical data of the turbines. Direct marketers, utilities and operators use it for schedule nominations, energy trading and to avoid balancing energy.
What data does alitiq need for a wind power forecast?
To get started, the location of the wind farm and, for each turbine, the turbine type, hub height and installed power are enough; the rotor diameter is optional. Measurements are optional too, but they are the basis for the optimized forecast.
How soon is the first forecast available?
A baseline forecast based on the weather models is ready minutes after you create the wind farm. As soon as measurements are available, you get the optimized forecast from the next day.
What horizon and time resolution does the forecast have?
The forecast reaches up to 10 days ahead. You choose the time resolution when you retrieve it; the default is 15-minute values, matching schedules and quarter-hour products. With measurements sent continuously, the forecast is updated every 15 minutes.
Can I retrieve forecasts for an entire portfolio?
Yes. One request returns the forecasts for all wind farms in your portfolio, optionally with a sum column. You use your own wind farm IDs, so the data goes straight into your systems.
My turbine type isn't on the list. What now?
Then choose the DEFAULT type and enter the installed power of the turbine; we use a default power curve. Feel free to write to support@alitiq.com if a type is missing.
How do I handle curtailments and nighttime curtailment?
Curtailments and unavailabilities, for example by the grid operator, for maintenance or for marketing reasons, are sent via the API, so the model doesn't learn from distorted measurements. A fixed nighttime curtailment with start, end, curtailment level and time zone is stored directly with the wind farm.
How much does the alitiq wind power forecast cost?
€18 per MW of installed capacity and month, all forecasting services included and with no different tiers, the same price as for the solar forecast. There are volume discounts for larger portfolios, and the first 30 days are free.
How can I check the forecast quality?
Via the API, you retrieve earlier forecasts as well as the latest one and compare them with your measurements. The most meaningful test runs over several weeks on your own wind farms, and that's exactly what the free trial period is for.
Test the wind power forecast with your own wind farms
30 days free: you create your wind farms, we deliver the forecasts, and you compare them with your measurements. Then you decide.