There are countless SCADA sensors on the transmission grid. Aggregating, accessing and interpreting this information is fundamental to network operations. Through digitalisation, we were able to create trust in this dataset by uncovering previously unseen data quality issues and insights.

With a trustworthy dataset in place, we were able to apply advanced programming and statistical methods to maximise the value of the information to the client. Specifically, we developed an automated load forecasting tool, Moata Demand Forecaster, that now underpins network operation in real time as well as planning.

As a single source of truth, our Moata Demand Forecaster improved forecasting accuracy across all time horizons. Specifically, the day-ahead forecasts improved by 25%, resulting in better unit commitment, maintenance and procurement decisions.