Fixer & DeckardRogue
Fixer Fixer
DeckardRogue DeckardRogue
DeckardRogue DeckardRogue
I’ve been looking at the city’s power grid logs, and there’s a weird pattern in the blackout spikes. Have you seen the same data?
Fixer Fixer
Yeah, the spikes line up with those maintenance windows. The pattern looks like a timing issue, probably a fault in the load-shedding algorithm. Let's pull the simulation data and run a quick model to see if we can predict the next surge.
DeckardRogue DeckardRogue
Pull the logs, run the model, and see what the algorithm says. Just remember: if the code’s broken, the next surge could still be a surprise.
Fixer Fixer
1. Pull the last 48 hours of grid logs from the SCADA database. 2. Feed the time‑series into the load‑shedding model and run a 15‑minute ahead forecast. 3. Compare the forecasted surge times with the actual spikes. 4. If the algorithm deviates, flag the code block that schedules shedding and run a quick regression test. 5. If no code error, double‑check the sensor calibration on the breakers. That should surface the root cause before the next spike hits.
DeckardRogue DeckardRogue
Looks like a good plan. I'll grab the 48‑hour log, feed it into the shed‑predictor, and line up the numbers. If the forecast slips, I'll flag the scheduling block, run a quick regression, and then check the breaker sensors. That should unearth whatever’s throwing off the spikes before the next one hits.