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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

  • 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
  • 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
  • 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
  • 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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