Optimizing grid performance
We give Utilities the visibility to keep the grid stable, efficient and reliable.
overview
Utilities need a clear, reliable view of what is happening across the grid, particularly at the edge, where increasing complexity and variability make network conditions harder to predict. Smart meters and sensors generate large volumes of operational data, but this data only becomes truly valuable when it can be interpreted in the context of the network: its assets, customers and topology.
Fragmented data sources and limited visibility can make it difficult to identify voltage issues, power quality problems or emerging network constraints early enough. Utilities therefore need to detect trends and anomalies before they affect customers and use measured network behavior to support both operational decisions and long-term planning.

use cases
Operational use cases addressed
Monitors voltage profiles across the network and detects deviations early, down to the low-voltage level, by combining smart meter and sensor data.
Tracks power quality continuously against key grid quality standards, to identify unfavorable developments and understand where they originate.
Combines metering data with asset and topology information in a single data model. Consumption, generation, grid health and equipment status can be correlated, with configurable dashboards that drill down to the underlying data.
Applies machine learning and AI to detect anomalies, grid losses and topology inconsistencies. Issues generate tasks automatically, and the AI only proposes actions: human approval is always required.
Forecasts demand by grid area, accounting for seasonality and weather, to anticipate loading and support planning and investment decisions.
success stories
How we turn challenges into results



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