Forecasting

In a world full of endless data streams to analyze and learn from, the rarest – and most valuable – resource in system operations is foresight.

Operators need a single environment that brings together: 

• Power plant availability and dispatch plans 

• Maintenance and outage schedules 

• Real-time system data and telemetry updates 

• Forecasts of load, generation, and renewables 

By unifying these data streams – and continuously feeding them with live system inputs – control centers gain true foresight: understanding not just what is happening now, but what will happen next, and how planned actions will affect system stability in real time. Without this level of integration, every minute spent on synchronisation or manual coordination means slower decision-making, higher operational risk, and less efficient operations – especially under system stress. 

Use Case

Foresight becomes the new foundation of reliability
To maintain grid stability, system operators need real-time visibility, as well as a forward-looking understanding of system behaviour over the next 15, 30, or 60 minutes. This means anticipating congestion, voltage deviations, or redispatch needs before they occur – and taking informed action with certainty, instead of reacting under pressure. 

Our Answer: The Forecasting Suite 
The forecasting suite is a unified forecasting and planning ecosystem that bridges the gap between real-time operations and predictive foresight. We empower system operations with foresight by rebuilding fragmented tools into a unified forecasting product that transforms uncertainty into clarity, enabling safe, stable, and proactive system control. Like a windshield wiper on a rainy highway, we clear the path ahead – so the grid not only reacts to what is happening, but more importantly, moves confidently toward what is coming.

Benefit

By transforming fragmented forecasting, planning and live operational data into a single, coherent view that enables proactive, informed, and real-time system control, it solves the three biggest challenges in modern grid operations:

Fragmentation of Tools & Data 
Instead of juggling separate systems, operators get one consolidated view combining forecasts, outages, and plant schedules. 

Actionable Intelligence 
The suite provides not just data, but context and recommendations, allowing operators to act faster and more confidently. 

Scalability & Adaptability 
Built on a modular microservices architecture, the platform scales across regions and evolves with new data sources or regulatory requirements. 

The impact is tangible: 

• Reduced manpower: countless hours saved avoiding duplicate work 

• Faster, more confident decisions: no more delayed actions and high balancing costs 

• Efficient training, efficient work: an end to multiple tools, steep learning curves, and more room for error 
  
  

The technology behind it 

The Forecasting Suite is a modular, cloud-enabled platform with secure integrations into EMS/DMS systems and enterprise IT. The system is set-up in the following way:

• Data Layer: Ingests real-time telemetry, weather feeds, market data, and plant/outage schedules 

• Application Layer: Runs forecasting models, validates outage, and generates optimized plant schedules 

• Visualization Layer: Presents an integrated Operator Dashboard for real-time situational awareness and decision support.

• Integration Layer: Provides secure APIs for seamless interaction with control systems, planning tools, and enterprise applications
  
  

How does it work? 

Our unified forecasting product solves this by: 

• Ingesting and standardizing data from every relevant source 

• Combining forecasts into a single, consistent view with confidence scoring 

• Visualizing the complete system picture in an operator-friendly interface 

• Highlighting risks and anomalies so action can be taken before events escalate 

With all data streams combined into a single source of truth, operators can make faster, safer and more reliable decisions —– reducing uncertainty, improving reliability, and keeping the grid stable even under increasing complexity. 

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