T&D Disruption Warning Solution for a Multinational Energy Company

Challenge

Multinational transmission and distribution service providers face constant threats that could lead to significant operational disruptions, including:

• Extreme weather events and natural disasters causing infrastructure damage.
• Equipment failures resulting from aging or poorly maintained infrastructure.
• Cybersecurity threats such as hacking, malware, and ransomware attacks.

The client sought a robust solution from Mahusai to proactively identify, predict, and mitigate high-risk conditions to ensure reliability and continuity of service.
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Solution

Mahusai delivered a comprehensive, integrated predictive analytics solution composed of multiple key components:

• Data Collection & Integration: Comprehensive datasets gathered from grid operations (SCADA data, equipment status, historical outages, smart meter data), maintenance records, and external sources like weather forecasts, vegetation management, and geospatial information.
• Advanced Predictive Analytics Platform: Deployed cloud-based predictive analytics leveraging powerful machine learning algorithms and models such as Isolation Forest, Random Forest, Gradient Boosting, and deep learning techniques for weather-related risk forecasting.
• Interactive Visualization & Dashboarding: Implemented intuitive dashboards featuring risk heatmaps, real-time alerts, historical trend analyses, and equipment health indicators for immediate situational awareness and operational insight.
• Automated Alerts & Notifications: Configured proactive alerts based on predictive thresholds, including maintenance scheduling, weather event notifications, and urgent sensor anomaly detections, pushed directly to operational teams via SMS, email, and internal management systems.
• AI-Driven Recommendations: Delivered actionable guidance for preventive maintenance prioritization, load management strategies, and optimized crew dispatch based on real-time analytics and predictive insights.
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Technology

• Programming & Analytics: Python
• ETL and Data Integration: Matillion
• Data Warehousing: Snowflake
• Cloud Infrastructure: Microsoft Azure
• Visualization & Workflow Automation: PowerBI, Power Automate
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Results

The predictive analytics solution provided outstanding improvements:

• Significant reduction in operational disruptions, ensuring increased reliability and continuity of services.
• Enhanced response and maintenance efficiency, dramatically reducing downtime and operational costs.
• Improved risk management and compliance, proactively addressing potential threats and maintaining regulatory adherence.

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