Powering Utilities, Traders, and Smart Energy Systems

Meteomatics supports real-time dispatch optimization during extreme weather events by providing high-resolution forecasts for the key variables that impact asset performance, grid stability, and market exposure.

Core Forecasting Capabilities:

• Weather Forecasts: Accurate, site-specific forecasts for wind speed, solar irradiance, temperature, precipitation, storm risk, and more — updated as frequently as every 15 minutes.

• Power Forecasts: Customised forecasts for wind and solar generation, adapted to your asset specs, enabling proactive dispatch and curtailment decisions.

• Load Forecasts: Available for selected markets (e.g., Germany), enabling more accurate supply-demand balancing under extreme conditions (e.g., heat waves, cold snaps).

• Weather Alerts: Configure thresholds and receive automated alerts (e.g., wind ramps, irradiance drops, temperature extremes) to anticipate market-relevant events and support trading decisions.
  

Use Cases in Extreme Weather:

• Anticipating ramp events due to rapid changes in wind or irradiance

• Preparing storage systems or backup assets for load spikes or volatility

• Aligning dispatch with grid constraints, market pricing signals, or risk limits

• Triggering automated alerts for critical thresholds (e.g., cut-out wind speeds, extreme temperature thresholds)
  

Contact us to configure forecasts and alerts that support dispatch optimization and operational resilience.

Severe weather events such as storms, heat waves, cold snaps, or heavy precipitation can be identified and monitored through:

• MetX: Meteomatics’ visual platform, where users can visually inspect and track extreme weather conditions using predefined or custom weather parameters.

• Weather API: Users can query relevant parameters (e.g. wind gusts, temperature extremes, precipitation intensity, CAPE, etc.) and apply custom thresholds to flag severe weather conditions based on operational needs.

• Weather Alerts: Receive highly customizable alerts by e-mail or SMS.  

Examples of configurable alerts include:

• Wind gusts exceeding turbine cut-out thresholds

• Prolonged heat wave conditions affecting load forecasts

• Storms, wind shear, and convective cloud data

Contact our team to explore how to use MetX, API or Alerts to proactively flag high-impact events for your assets or operations.

Meteomatics' customised power forecasts are updated every 15 minutes, ensuring alignment with both intraday and day-ahead market trading windows.

Additionally, Meteomatics’ proprietary EURO1k and US1k weather models — which cover Europe and the United States at 1 km spatial resolution — feature a native temporal resolution of 15 minutes, providing exceptionally detailed insights into rapidly changing weather patterns and perfectly matching Europe’s new day-ahead electricity market rules, which now operate at 15-minute trading intervals.

Via the Meteomatics API, power forecasts can be queried at any time, giving users the flexibility to access the most recent forecast data on demand, across a wide range of time horizons and locations.

Contact us to configure a forecast delivery schedule that aligns with your market obligations and trading windows.

Yes, latency and forecast update frequency are optimized for real-time operational use, and can be tailored to meet customer-specific requirements.

• Meteomatics uses the latest available real-time observations (e.g. from weather stations, satellites, or customer data) to continuously adapt and refine forecasts.

• Forecast update frequency can be adjusted based on the use case, with update cycles as short as 15 minutes available for high-demand operational workflows.

• Latency is optimized through efficient data pipelines and can be further tuned depending on customers’ needs.

This setup ensures operators have real-time situational awareness for grid balancing, dispatch planning, and renewable generation tracking.

Contact our team to discuss how we can optimize data delivery for your specific use case.

The accuracy of Meteomatics’ wind and solar power forecasts generally outperforms other sources, but the exact improvement depends on several factors, including:

• Location and local weather complexity

• Forecast horizon (short-term vs long-term)

• Data quality provided by the customer (e.g. panel and turbine specifications, installed capacity, accuracy of geolocation)

• Level of customization (e.g. site-specific tuning vs generic outputs)

Unlike most sources (which often rely on coarse-resolution global or AI-based models), Meteomatics combines high-resolution numerical weather prediction models, multi-model blending, and terrain-aware downscaling, yielding significantly more accurate inputs. When coupled with user-supplied asset data, this results in substantially improved power forecasts, particularly in complex terrain or during variable weather conditions.

A quantitative comparison (e.g. MAE or RMSE) is site-specific and would require validation against actual measured production.

If you’re interested in validating our forecast accuracy for your site, we recommend talking to one of our experts to set up a tailored benchmarking analysis.