Updated on 14 September 2026
Weather Intelligence for Power Forecasting & Grid Balancing
Business Development at HyperMeteo
Due Carrare, Italy
About
As electricity markets move towards 15-minute balancing and settlement intervals, forecast accuracy becomes increasingly important for renewable energy producers, aggregators, traders and grid operators seeking to reduce imbalance exposure and optimise market positions.
Our proprietary HFSEnS – Hypermeteo Forecast System Ensemble combines multiple forecasting models and data sources to deliver high-frequency weather forecasts specifically optimised for energy applications.
The service combines:
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15-minute weather forecasts for operational and market applications
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Wind speed and direction forecasting, including very short-term nowcasting
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High-resolution solar irradiation and other parameters relevant to renewable generation
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Historical, real-time and forecast data for model training, validation and operational forecasting
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Forecasts tailored to specific renewable assets, portfolios or geographic areas
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Data APIs for integration into existing power forecasting, trading, EMS, VPP and grid management platforms
Hypermeteo can provide the meteorological input required by customers developing their own power-generation forecasting models, or support applications requiring a direct estimate of expected renewable production.
The objective is simple: turn better weather intelligence into better generation forecasts, better market decisions and more effective grid balancing.
Hypermeteo can also integrate multiple meteorological data sources and apply proprietary processing, ensemble techniques and high-resolution modelling to improve the quality and consistency of the forecasting input.
Organisation
Similar opportunities
Service
Global Weather & Environmental Data APIs
Carlo Mei
Business Development at HyperMeteo
Due Carrare, Italy
Service
Onshore & Offshore Weather Forecasting
Marco Biagioli
Sales Engineer at HyperMeteo
Padova, Italy
Project cooperation
Partners for new power/weather forecasting modalities
Kate Abarbanel
Business Development Manager at WPred
Montreal, Canada