Know your transformer will fail
14 days before it does.
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14 daysearly
Equipment Failure Prediction
Before thermal trip
<30 sec
Generation Loss Diagnosed
Root cause, not guessing
Zone-level
Distribution Loss Identified
Not system-average guesses
18% → 12%
AT&C Loss Reduction
Avg client result
Real Pain → AI Solves It
Your team faces these every week.
OpsOracle names them and fixes them.
Actual AI output from real energy and utilities data. Upload your report and get this analysis in under 30 seconds.
The Pain
Transformer T-7 at our substation has been overheating on hot afternoons. Maintenance says it's normal seasonal variation. We're 3 weeks from monsoon.
Raw data signal
T-7 Temp 08:00: 68°C | T-7 Temp 12:00: 81°C | T-7 Temp 16:00: 94°C | Cooling fan: Fault logged 3× this week | Load: 87% rated capacity | Last maintenance: 14 months ago
OpsOracle AI Output
T-7 hit 94°C at 16:00 — 6°C below thermal trip threshold. This is not seasonal variation: cooling fan faulted 3× this week with 87% load. Pattern matches pre-failure thermal runaway in 78% of documented cases. Monsoon humidity will accelerate insulation degradation once temperatures cycle. Failure risk window: 8–14 days.
[THIS WEEK] Action
Emergency: reduce T-7 load to 70% immediately via load transfer to adjacent feeders. Schedule cooling fan replacement within 48 hours. Book thermal imaging + insulation resistance test before monsoon. Do NOT wait for next quarterly PM.
Expected impact: Prevent transformer failure worth ₹28–45L replacement cost + 18–36 hour outage for 12,000 consumers. Avoid regulatory penalty for unplanned outage.
The Pain
Our solar plant capacity factor dropped from 22% to 16% over the last quarter. Developers say it's panel degradation but the plant is only 3 years old.
Raw data signal
Q1 Gen: 4.8 MWh/day | Q2 Gen: 4.1 MWh/day | Q3 Gen: 3.6 MWh/day | Irradiance: Normal (4.8 kWh/m²) | Inverter 3: Fault 12× | String 7-C: Underperforming 40% | Soiling losses: 8%
OpsOracle AI Output
Panel degradation at 3 years explains ~2% generation loss — not 27%. Root cause is Inverter 3 (12 faults/quarter causing intermittent disconnection) and String 7-C underperforming by 40% (likely shading, micro-crack, or bypass diode failure). Combined: ~18% of the 27% loss explained. Soiling (8%) accounts for the rest — not being cleaned on schedule.
[THIS WEEK] Action
Replace Inverter 3 this month (₹2.8L cost, ₹9L/year revenue recovery). IV curve trace String 7-C to isolate faulty modules. Increase cleaning frequency from monthly to fortnightly through summer.
Expected impact: Recover 1.6 MWh/day = ₹2,88,000/month in lost generation at ₹6/unit. Payback on Inverter 3 replacement: 3.7 months.
The Pain
Our distribution losses are 18.4% against a regulatory target of 12%. DISCOM audit is in 6 weeks.
Raw data signal
Zone A losses: 11.2% | Zone B losses: 14.8% | Zone C losses: 31.7% | Zone D losses: 9.1% | Energy input: 42,000 MWh | Billed energy: 34,285 MWh | AT&C losses: 18.4%
OpsOracle AI Output
System average 18.4% masks Zone C at 31.7% — nearly 3× the regulatory target. Zone C drives 48% of total system losses despite serving 22% of consumers. At 42,000 MWh input, Zone C alone is losing 6,930 MWh/month worth ₹41.6L. Achievable target: reduce Zone C to 18% → overall system drops to 12.9%.
[THIS WEEK] Action
Zone C audit priority: (1) meter reading audit — identify unbilled consumers. (2) Aerial line inspection for energy theft tapping. (3) LT feeder segregation to isolate the highest-loss sections. Complete within 4 weeks before DISCOM audit.
Expected impact: Zone C: recover 5,600 MWh/month = ₹33.6L/month in lost revenue. Meet DISCOM 12% target within 2 billing cycles — avoid penalty of ₹1.8Cr/year for target miss.
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