Improved forecasting accuracy by 15% - 25%

By implementing SnerpaPower’s automated forecasting and scheduling platform, Rio Tinto ISAL significantly improved prediction accuracy, reduced balancing costs, and unlocked new revenue streams through energy market participation.

Solution

The SnerpaPower platform provides a fully integrated solution for real-time energy optimization, combining forecasting, automation, and system integration.

The platform features automated daily updates of sales measurements, ensuring continuous visibility into energy usage and market positions. Scheduling, reporting, and risk analysis are fully automated, reducing manual workload and enabling more consistent decision-making.

Real-time forecasting models continuously update expected load and market conditions, allowing seamless adjustments to be communicated to the TSO and power producers when needed.

With the ability to dynamically optimize load and respond instantly to new data, ISAL can operate with significantly higher precision and flexibility.

Impact

The implementation of SnerpaPower resulted in measurable improvements across both operational and financial dimensions.

Balancing energy and associated costs were reduced through more accurate and responsive load management. Forecasting accuracy improved by 15–25%, leading to direct cost savings.

In addition, ISAL was able to participate in energy markets in an automated manner, generating new revenue streams with monthly revenues of approximately 140–240 EUR/MWh activated.

Intelligent Energy Solutions

SnerpaPower delivers advanced software solutions for energy-intensive industries, enabling real-time optimization, automation, and market integration.

By combining deep domain expertise in energy systems with scalable cloud-based technology, SnerpaPower supports industrial players in transitioning toward more flexible, efficient, and sustainable operations.