XUpscale

Wind Generation Forecasts

The Challenge

xUpscale was launched with the aim of helping transmission system operators prepare for the growing share of renewables in a safe and controlled environment. Today, it is part of daily operations within the MCCS Forecasting suite.

By running alongside existing control systems, xUpscale enables operators to work with live data, validate workflows early, and identify bottlenecks before rollout. Continuous collaboration between operators and developers ensures rapid improvements and builds trust in the system without compromising grid security.

Use Case

The solution processes real-time measurement data from distributed wind farms and ensures high data quality before it is used.

Each measurement is automatically validated for:

correctness,
completeness over time,
non-zero values,
and defined value ranges.

This guarantees that only reliable data feeds into forecasting and operational processes.

Benefit

xUpscale provides a real-time overview of total wind power generation across the 50Hertz grid area by processing hundreds of live measurements from connected operators.

The system follows a clear process:

it validates incoming data,
integrates verified measurements into forecasting models,
and aggregates results at regional levels such as substations.

A strong focus on data integrity ensures that operators can rely on accurate, consistent information for confident decision-making.

The Technology Behind It

xUpscale combines real-time forecasting with integrated visualization and secure system connectivity and thereby enables:

renewable forecasting within MCCS,
supports geographic visualization of assets,
identifies potential bottlenecks,
and exchanges data reliably with existing EMS and SCADA systems.

How It Works

The solution continuously evolves alongside operational needs. It allows teams to quickly integrate new wind farms and measure points, ensuring forecasts remain up to date.

As part of MCCS, it supports operators in managing increasing renewable complexity with a reliable, scalable, and continuously improving solution.