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Predictive maintenance
Combine equipment history, inspections, fault events and sensor data to identify assets that may need earlier attention.
Practical intelligence, grounded in utility data
AI that helps utilities see earlier, decide better and act smarter.
Move beyond dashboards with AI and analytics use cases aligned to power networks, smart meters, assets and operational processes.
From data to action
Start with high-value problems—not hype.
AI is most useful when it is connected to reliable data, domain knowledge, clear business outcomes and human review. GECE's utility systems can provide the information foundation for carefully scoped AI capabilities.
- Identify a specific operational decision or recurring pain point.
- Assess data quality, access, security and integration requirements.
- Build explainable analytics and validate outputs with domain experts.
- Monitor outcomes and retain human accountability for critical decisions.
Responsible AI for utilitiesUseful · Explainable · Governed
AI use cases
Where AI can add value
Use cases should be prioritized against available data, operational readiness and measurable value—not deployed simply because the technology exists.
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Smart-meter anomaly detection
Surface unusual consumption patterns, missing intervals, data-quality exceptions and potential revenue-protection leads for investigation.
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AI-assisted network analysis
Help engineers explore network constraints, prioritize field checks and compare planning scenarios using verified network models.
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Load forecasting
Forecast demand by location or customer segment to inform planning, operational preparation and capacity decisions.
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Digital Twins
Bring asset, GIS and operational data into a living representation of infrastructure for scenario analysis and better context.
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Knowledge assistants
Help authorized teams search technical manuals, procedures and project documentation with controlled access and source references.