Machine Learning Power

Do You Know 4 Days Ahead When Electricity Is Cheapest?

Without accurate forecasts, your BESS is like a blind horse. You buy expensive, sell cheap – and wonder about the electricity bill. With 96% accuracy, you could have prevented that.

96%

Forecast accuracy – where others guess, we know

Our Forecast Types

The right model for every use case

Electricity Price

96% accuracy

PV Generation

94% accuracy

💨

Wind Generation

92% accuracy

Load Forecast

95% accuracy

Weather

97% accuracy

Custom ML

Individuell

Without Accurate Forecasts...

These mistakes cost companies real money every day

Price Uncertainty

Without accurate forecasts, you're blind in the energy market. Your purchasing decisions are based on guesses instead of data.

-€40,000/year

Manual Processes

Excel spreadsheets and manual calculations cost time and are error-prone. Your employees waste hours on outdated methods.

Inefficiency

Missed Opportunities

Negative electricity prices are gold for BESS operators. Without forecasts, you miss the best hours of the year.

-€25,000/year

With Stromfee.AI Forecasts

Machine Learning meets energy market – with measurable results

ML Models

LSTM, XGBoost, Prophet, and Random Forest combined. The best model wins automatically for highest accuracy.

96% accuracy

Weather Integration

Weather data, satellite images, and historical patterns – combined into precise generation forecasts for PV and wind.

94% accuracy

Price Forecast

See 96 hours ahead when electricity is cheapest and most expensive. Perfect for BESS arbitrage.

+€55/MWh spread

Technical Features

Enterprise-grade Machine Learning for the energy market

Highest Accuracy

96% MAPE for day-ahead prices. Continuously validated and optimized.

Forecast Horizons

From 15 minutes to 7 days. Hourly, daily, and weekly forecasts available.

Confidence Intervals

Not just point forecasts, but also uncertainty bands. For better risk management.

Ensemble Models

LSTM, XGBoost, Prophet, and Random Forest combined. The best model wins automatically.

Backtesting

Validate our forecasts against historical data. Transparent performance metrics.

API Access

REST API for seamless integration into your EMS, SCADA, or trading system.

FAQ

Common questions about AI forecasts

How accurate are the electricity price forecasts?

Our day-ahead price forecasts achieve 96% accuracy (MAPE below 4%). For intraday prices, accuracy is 92-94%.

How far does the forecast horizon reach?

Standard is 96 hours (4 days) with 15-minute resolution. For strategic planning, we also offer 7-day and monthly forecasts.

What data sources are used?

ENTSO-E transparency platform, Open-Meteo weather data, satellite cloud images, historical load patterns, and holiday calendars.

How do I integrate forecasts into my system?

Via REST API with JSON responses. We also offer pre-built integrations for common EMS and SCADA systems.

Can I customize the models for my facility?

Yes, we train custom models with your historical data. This improves accuracy by 2-5% for your specific facility.

What do forecast services cost?

Monthly flat rate depending on forecast types and API calls. Typically €500-2,000/month – with €80,000-150,000 additional revenue/year.