Kognitwin Grid - Utilities - Operate

**Overview**
Digital Twin foundation - gather data and documents from various sources and format. Advanced visualization UX to liberate and contextualize information of your grid.

**Use cases**
Add use cases for the listing here.
- Identify congestion & voltage deviations in the next 24-hours through simulation of supply and demand with ML algorithms, including weather forecasting
- Integration with DLR (Dynamic Line Rating) for dynamic forecasting of bottlenecks, voltage deviations and losses
- What-if scenario simulator for decision support, assessing the impact of using flexible assets, non-firm agreements, flexibility markets, batteries and network reconfiguration
- Forecast & minimize losses through grid reconfiguration recommendations

**Typical Personas**
- Grid operational planner
- Grid operators

**Business Value**
- Reduce CENS (cost of energy not supplied) cost
- Reduce outages
- Increase grid utilization whilst maintaining reliability
- Reduce losses

**Product details**
This dataset provides information on substations, usage points, and static generators based on CIM-compliant XML files. It includes geographic locations, equipment details, and operational attributes essential for power system analysis and grid management.

**Dataset**
- **mod8_cimfile1.xml**: Substations with geographic locations and associated usage points
- **mod8_cimfile6_SG.xml**: Static generators and their attributes

**Sample Fields**
- **Substations**: mRID, name, location, PSRType
- **Usage Points**: mRID, annualConsumption, objectNumber, shortName, LoadGroup
- **Locations**: mRID, CoordinateSystem, mainAddress
- **Terminals**: mRID, sequenceNumber, ConductingEquipment, ConnectivityNode

**Additional Insights**
Product: [Kognitwin Grid](https://www.kongsbergdigital.com/industrial-work-surface/kognitwin-grid)
Youtube: [Kognitwin Grid - Digital Twin for Utitities](https://www.youtube.com/watch?v=SrJC3wxXEWs)