Overview
Key performance indicators and operational insights for the next week
SAIFI Prediction
System Average Interruption Frequency Index
SAIDI Prediction
System Average Interruption Duration Index
At-Risk Assets & Grid Health
Critical assets and system reliability metrics
Demand Forecasting
Load demand and capacity utilization metrics
Risk Assessment Map
Color-coded zones based on predicted outage risk
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Critical Alerts
Real-time predictive alerts and notifications
Weekly Feeder Interruption Risk - Critical
ML model predicts 85% probability of feeder interruption in Riyadh Main Substation - Feeder B within current week. Overload conditions and aging infrastructure detected.
Monthly Substation Interruption Forecast
Predictive analytics indicate 72% chance of substation interruption at Dammam Main within current month. High utilization and maintenance overdue.
Weekly Feeder Overload Prediction
Feeder A at Dammam Main showing 107% predicted utilization for current week. Load balancing required to prevent service interruption.
Weekly Multi-Feeder Risk Correlation
AI analysis detected correlated risk patterns across 3 feeders in Central Region. Weekly forecast indicates potential simultaneous interruptions.
Quarterly Substation Risk Assessment
Jeddah Main Substation risk level elevated for Q1. Predictive model shows 45% interruption probability over next quarter due to maintenance conflicts.
Monthly Feeder Health Degradation Alert
Riyadh Main Feeder B health score trending downward. Monthly prediction model shows 68% interruption risk if maintenance is delayed.
Quarterly Substation Capacity Forecast
Jeddah Main Substation quarterly forecast shows 95% capacity utilization. Q1 load predictions indicate potential service interruptions during peak periods.
Monthly Feeder Failure Probability Update
Monthly analytics show 28% failure probability for Riyadh Main Feeder B. Age-based degradation model indicates accelerated wear patterns over 30-day period.