DDMX INTELLERGY
Computational Intelligence for Energy Operations
The INTELLERGY platform features a suite of proprietary DDMX tools designed to combine big data analytics with computational intelligence (AI/ML).
Big Data Analytics and Computational Intelligence
01. Real-time Calculations
- Prioritization and ranking of teams
- Financial compensation risk
- Number of teams required to meet targets
- Affected customers
- Recurrence of outages
- Indicators: SAIDI, SAIFI, CAIDI, CAIFI, MAIFI (DEC, FEC, TMP, TMD, TME, TMA equivalents)
- Number of incidents: vital, imminent danger, 24h
- Call-back/IVR detection
- Service time prediction
- Critical day per consumer group
- Contingency state calculation
- Grouping suggestions
- Risk area detection
02. Alerts and Rules
- Automatic dispatch
- Improper grouping
- Contingency
- Failures
- Inspections
- Inconsistencies
- Prevention
- Team productivity
- Operator productivity
- Scheduled maintenance
- Faulty feeder monitoring
- Delayed scheduled maintenance
- Excessive distances traveled by field teams
- Unproductive call-back
- Automatic closure
03. Real-time Dashboard
- SAIDI/SAIFI monitoring
- Contingency state detection
- Customers x work orders x equipment
- LV/MV network
- Call-back return tracking
- Integrated map
- HV measurements
- Maintenance status
- Online telecontrol
- Corporate customers
04. Analytical Dashboards
- Incident control
- Low/Medium voltage
- Automation
- Post-operation analysis
- Teams x incidents
- Team productivity
- Telecontrol
- Corporate customers
- Structural analysis
- Root cause analysis
- Recurrence analysis
- Regulatory reports
- Management reports
Operational Results
Operation Intelligence System
01
Improvement of quality indicators
02
Reduction of operational costs
03
Reduction of unproductive activities
04
Increased automation and process optimization
05
Reduction of financial compensations
06
Reduction of system failures
07
Real-time management
08
Resource reallocation between regions
Decision Support System
Benefits for Utilities
- Overall improvement in operational and financial results
- Achievement of results and payback in the short term (within months)
- Reduction of costs and effort
- Benefits from proven technologies
- Better operational visibility through data analysis
- Data-driven decision-making based on real and updated information
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