Nonagon

Stay Ahead of Market Moves with Hourly AI-Weather Signals

Get the fastest, freshest and most accurate power production forecasts for wind and solar, updated every hour to help you react earlier, reduce risk and seize opportunities.

AI-Driven Rapid Weather Intelligence for Short-Term Power Markets.

AI-Weather Rapid Updates delivers 24 AI-powered forecast updates per day, ensuring you always operate on the most up to date weather signal available. By combining AI-weather from our partner Jua with Volue’s fundamental power forecast modelling, the service provides a 48-hour near-term horizon optimized for intraday, day-ahead and balancing market decisions across Europe and Japan. It adds a complementary second signal alongside the existing fundamentals package.

This gives traders, asset owners and system operators a continuously refreshed forecast that captures changes hours before traditional numerical models, helping reduce exposure to forecast surprises, imbalance costs and extreme price events.

 

KEY FEATURES

A high frequency forecast engine delivering24 deterministic updates per day, six times more frequent than ECMWF/GFS. This rapid cadence enables immediate reaction to shifting weather-driven market conditions and reduces exposure to sudden forecast surprises.   

Forecasts are available ~1.5 hours after model initiation, giving you sharper insight long before traditional numerical models publish their runs. This accelerated delivery allows traders and asset owners to respond while others are still waiting.   

Built on weather inputs that are ~1.5–2.5 hours old at the most, far fresher than the ~6–12 hour lag typical of ECMWF/GFS. By ingesting more recent observations, the model provides a near real-time view of evolving conditions, significantly reducing forecast staleness.   

AI-Weather improves short-term precision by learning directly from recent observations and model error patterns, boosting accuracy in the critical 0–48h window. This is where decision-making for intraday trading, balancing markets, and asset dispatch has the highest impact. 

An independent and complementary weather signal that reduces reliance on a single model. When ECMWF diverges, AI-weather provides earlier warnings using Jua’s AI-weather input as a complementary secondary source, and a more resilient decision base, especially valuable in volatile, renewable-driven markets.  

Comprehensive SPV and wind forecasts across Europe and Japan, fully integrated into Volue fundamentals. Expansion into consumption and extended horizons is part of the ongoing roadmap 

A high frequency forecast engine delivering24 deterministic updates per day, six times more frequent than ECMWF/GFS. This rapid cadence enables immediate reaction to shifting weather-driven market conditions and reduces exposure to sudden forecast surprises.   

Faster Reaction to Market-Moving Weather

Hourly updates let traders and operators adjust positions immediately as conditions change, reducing exposure to price spikes and forecast surprises.

More Confidence in Short-Term Decisions

Enhanced accuracy in the 0–48h window strengthens day-ahead bidding, intraday trading and operational dispatch decisions.

Reduced Imbalance & Operational Risk

A fresher signal reduces the risk of mismatch between expected and actual renewable output, especially in volatile wind/solar conditions.

Stronger Risk Management with Model Diversification

Independent AI-Weather input provides a second view, essential when market volatility increases or when ECMWF forecasts diverge.

Designed for High-Frequency Market Processes

Supports fast-moving markets with multiple gate closures, SIDC, SDAC, and TSO balancing markets.

USE CASES

Use hourly updates to capture rapid shifts in renewable output and adjust trading positions proactively. 

Higher short-term accuracy improves bidding strategies and optimizes asset dispatch and operations.

Earlier and fresher signals help reduce imbalance volumes and optimize reserve activation strategies.

Wind and SPV operators get more precise short-term production expectations for scheduling and real-time optimization.

As an independent second signal, AI-weather reveals divergence from ECMWF early, critical for risk management in volatile hours.

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