Industries
Energy
Asset reliability, load forecasting and operations analytics.
Overview
Energy organisations manage capital-intensive assets, volatile markets and growing regulatory and sustainability reporting. Sensor and operational data offer opportunities for earlier detection of problems and better planning.
Common challenges
- Large volumes of time-series sensor data
- Alarm fatigue in control rooms
- Forecasting demand and renewable generation
- Emissions and sustainability reporting
Where AI and data science help
Predictive maintenance
Detect early signs of equipment degradation.
Load and price forecasting
Probabilistic forecasts for planning and trading support.
Alarm rationalisation
Prioritise and suppress repetitive alarms.
Emissions analytics
Consolidate data for consistent reporting.
Typical data sources
- SCADA and sensor streams
- Maintenance logs
- Market and weather data
- Asset registers
Responsible use
Operational technology networks have special security constraints. We agree architecture with your OT security team before connecting any system.
Bring us a decision you want to improve.
Tell us about the problem and the data you have. We will reply with a candid view of where we can help.