Price Volatility
Day-ahead, intraday, and balancing prices can change dramatically within hours, increasing both opportunity and risk.
Predict market movementswith confidence
Forecasting models for day-ahead, intraday, and balancing markets for European electricity traders.
Markets move faster than manual analysis
European electricity markets generate thousands of signals every hour. Turning that into reliable forecasts has become one of the biggest challenges for modern energy trading.
Market Complexity
Weather conditions, renewable generation, grid constraints, and commodity prices all influence electricity prices simultaneously.
Time-Critical Decisions
Market opportunities often exist for only minutes rather than hours, leaving little time for manual analysis.
Forecast Uncertainty
Incomplete or inaccurate forecasts increase market exposure and reduce confidence in trading decisions.
Three models built for European electricity markets
Hourly price forecasts for the next trading day, delivered before the market auction closes
- Hourly forecasts for the next 24-hour trading period
- P10, P50, and P90 outputs for each forecast hour
- Spike detection with configurable thresholds and alerts
- Negative price probability during renewable surplus hours
Want to see market intelligence in action?
Designed for your trading operations
Whether you generate, store, trade, or manage electricity, Market Intelligence delivers the forecasting needed to make faster and more informed market decisions.
Energy Trading Companies
Optimize participation across day-ahead, intraday, and balancing markets with accurate price forecasting and trading intelligence.
Individual Power Producers
Forecast market prices and optimize generation strategies to maximize revenue from power assets.
Battery Storage Operators
Maximize battery revenue with forecast-driven charging, discharging, and market participation.
Virtual Power Plant Platforms
Coordinate energy resources with market forecasts to maximize flexibility and trading performance.
Turning market data into trading advantage
Data Layer
- Real-time market
- Grid signals
- Weather forecast
- Renewable generation
- Commodity prices
- Asset telemetry
- Historical trading
Market Layer
- Day-ahead prices
- Intraday auction prices
- Continuous intraday prices
- Anomaly detection
- Balancing markets
- Probabilistic forecast
Trading Layer
- Trading signals
- Cross-market opportunities
- Bid scheduling
- Multi-asset optimization
- Battery dispatching
Estimate the value of more accurate price forecasting for your portfolio
Solar Farm50 MW
Battery Park0 MW
Model Selection
Balancing forecasting needs a battery park above 0 MW
Cross-border Trading
€231,231/ month
Annual opportunity: €2,774,772
- Location: Arañuelo, Spain
- Type: Co-located Assets
- Battery: 61 MW / 129 MWh
- Solar: 143 MW solar
Day-Ahead Forecasting
€130,845- Imbalance reduction€95,095
- Price optimisation€35,750
Intraday Forecasting
€100,386- Session gains€46,332
- Peak avoidance€54,054
Balancing Forecasting
-- FCR/aFRR revenue-
- Settlement savings-
Net monthly gain+€231,231
Disclaimer: Representative numbers are conservative estimates based on the Spanish electricity market benchmark for 2024-2026, assuming an industry-average forecast error of 18%. Actual savings depend on portfolio composition and current market conditions.
Designed to be native to your ecosystem
Step 1
Account setup, API key provisioning, and sandbox access. Portfolio and asset parameters configured with onboarding support.
Step 2
Technical integration or dashboard configuration completed. Historical backtesting data provided for initial model validation.
Step 3
Live forecast and optimization delivery begins across all subscribed products.
Step 4
Full operational access. Ongoing support for parameter adjustments as portfolio or market conditions evolve.
Insights behind forecasting models
Sharpen your understanding of energy forecasting and system design through our research, technical insights, and real-world integration experience.
Designing Predictive Energy Systems
A structured approach to building forecasting layers across solar generation, load consumption, and market pricing within modern energy infrastructure.
From Forecasts to Energy Decisions
How forecasting models enable real-time operational and trading decisions across energy systems.
Read Insight
Integrating Forecasting into Energy Systems
Key patterns for deploying forecasting models within EMS, BMS, and trading environments.
Read Insight
Managing Volatility in Energy Markets
Understanding how forecasting models improve performance in day-ahead and intraday markets.
Read Insight
Energy market insights, delivered to your inbox
Frequently Asked Questions
Market Intelligence provides forecasting for day-ahead, intraday, and balancing markets, with coverage expanding across European electricity exchanges.
Yes. Forecasting models can be configured for different markets, assets, and operational requirements.
No. We provide the forecasting platform and work with you to establish the required data connections during onboarding.
Forecasts are continuously refreshed as new market, weather, and operational data become available, ensuring the latest information is always reflected.
Yes. Market Intelligence is a standalone product and can be integrated into your existing trading workflow or software.
Forecasts can be accessed through our web platform or integrated directly into your existing systems via secure REST APIs.
Absolutely. During onboarding, we compare forecasts against historical market data and validate performance together before going live.
Ready to forecast what’s coming?
Turn complex market signals into clear, confident decisions with smarter energy forecasting.