Client

Regional Power
Utility Provider

Industries

Energy & Utilities

Technologies

LSTM Networks, GIS, IoT
AWS, Python, TensorFlow
Time Series Analysis, Power BI

The Challenge

Our client, a regional utility company serving over 2 million customers across three states, faced significant challenges in outage management:

  • Purely reactive approach to outage detection, relying on customer calls to identify problems
  • Average outage detection time of 35 minutes after service disruption
  • Mean time to restoration of 3.7 hours, well above industry benchmarks
  • Inefficient crew dispatching due to limited visibility into outage causes and locations
  • Customer satisfaction scores 17% below industry average, primarily due to outage handling

They required a comprehensive solution to:

  • Predict potential outages before they occur to enable preventive maintenance
  • Rapidly detect service disruptions when prevention isn't possible
  • Accurately pinpoint outage locations and causes to optimize crew dispatching
  • Estimate restoration times with high confidence to improve customer communications
  • Analyze historical patterns to guide infrastructure investment decisions

Our Solution: Predictive Outage Management Platform

We developed an integrated predictive platform combining multiple data sources with advanced AI to revolutionize outage management:

Technical Architecture:

  1. IoT Sensor Network: Deployment of 12,500+ smart sensors across the distribution network
  2. Multi-Source Data Integration: Weather data, equipment maintenance history, vegetation data, customer reports
  3. LSTM Neural Networks: Deep learning models analyzing temporal patterns in electrical system behavior
  4. GIS-Based Visualization: Geographic mapping of assets, predictions, and real-time outage status
  5. Advanced Weather Modeling: Integration with hyperlocal forecasting for storm impact prediction
  6. Field Crew Mobile Platform: Real-time data synchronization and optimized routing
  7. Customer Communication System: Automated predictive alerts and restoration estimates

Solution Components:

  1. Outage Prediction Engine: Forecasts potential outages 12-48 hours in advance
  2. Instant Detection System: Identifies service disruptions within seconds using sensor data
  3. Cause Classification Module: Determines likely outage causes using multiple data points
  4. Crew Optimization Algorithm: Matches crew skills with outage types and optimizes routing
  5. Restoration Time Estimator: Uses historical patterns to predict accurate repair times
  6. Asset Health Monitor: Tracks equipment condition to recommend preventive maintenance
  7. Customer Impact Assessment: Calculates affected customer counts and prioritizes critical services

Key Features Implemented:

  • Predictive Storm Impact Modeling: Combines weather forecasts with grid vulnerability maps to identify high-risk areas
  • Smart Grid Integration: Two-way communication with smart meters and grid equipment for real-time status updates
  • Automated Vegetation Risk Assessment: Uses satellite and drone imagery to identify tree-related outage risks
  • Customer-Driven Reporting Enhancement: AI-powered analysis of customer reports to identify outage patterns

Performance Metrics:

  • Prediction Accuracy: 87% success rate in forecasting outages 12-24 hours in advance
  • Detection Time: Reduced from 35 minutes to under 60 seconds (98% improvement)
  • Restoration Time: Decreased average outage duration from 3.7 hours to 1.9 hours (47% improvement)
  • Crew Efficiency: 34% increase in first-time resolution of outage causes

Business Impact

  • Financial Results: $5.3 million annual savings through crew optimization and preventive maintenance
  • Regulatory Performance: Exceeded all reliability targets (SAIDI/SAIFI) for the first time in company history
  • Customer Satisfaction: 24% improvement in J.D. Power customer satisfaction scores
  • Maintenance Optimization: 43% of potential outages prevented through predictive interventions

Conclusion

Sunware Technologies' predictive outage management system transformed our client's operations from a reactive approach to a proactive, data-driven model. By combining IoT sensor data, weather intelligence, and machine learning, we created a solution that not only addresses service disruptions faster but often prevents them entirely. The platform has proven particularly valuable during extreme weather events, where early preparation has significantly reduced outage impacts. Beyond the immediate operational benefits, the system provides valuable insights for long-term grid modernization planning, helping our client build a more resilient network for the future while improving service quality today. This successful implementation demonstrates how AI and data science can solve complex operational challenges in critical infrastructure management.


Industries


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46.2%

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The global fintech market is expected to reach.

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banks will offer open banking services

The retail landscape is undergoing a seismic shift, with online sales projected to account for 24% of total retail sales by 2026. In this dynamic environment, we empower retailers to not only survive but thrive. We specialize in delivering IT solutions that transform online shopping experiences, optimize supply chains, and drive customer engagement.

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The global augmented reality (AR) and virtual reality (VR) in the retail market is expected to reach.

80%

of consumers are more likely to purchase from a brand that provides personalized experiences.

In the fast-paced and ever-evolving world of media and entertainment, staying ahead of the curve is essential for success. With over 70% of consumers now preferring streaming services to traditional television, and social media engagement driving 50% of content discovery, the industry is undergoing a digital revolution. We empower media and entertainment companies to harness these trends and thrive in the digital age.

80%

of media executives believe that AI will significantly impact their industry in the next five years.

63%

of media companies are using AI to automate at least one part of their content production process.

Advantages - Sunware Technologies

Core Focus Unleashed

By bringing in a skilled Sunware team, you can focus on your core business while we handle project execution seamlessly.

Always-On Maintenance

We prioritize user experience with ongoing maintenance, ensuring your product stays relevant and competitive.

Security Built-In

Sunware integrates robust security into every step of the development process, protecting your sensitive data.

Faster Launch, Bigger Impact

Our experienced team and vast talent pool get your project to market quickly and efficiently.

AI-Powered Efficiency

We leverage AI and analytics to optimize your engineering resources, improving decision-making and automating tasks

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