Original practice scenario: An energy-operations simulator reports rising pressure readings after a sensor replacement. How would you investigate before training an anomaly detector?
Read model answer +
Separate instrumentation changes from changes in the measured process. A replacement can alter calibration, reporting frequency or units, so an apparent anomaly may describe the measurement system.
Work through it
Build a timeline of installation, calibration, maintenance and operating conditions; preserve raw readings with device identity, units and event timestamps.
Compare overlapping reference sensors and comparable operating regimes, examining missingness and sampling intervals before aggregating trends.
Evaluate detectors on held-out time periods with known simulated incidents and maintenance transitions; report alert delay and false alerts separately.
Tradeoffs to discuss
Normalizing every device independently can conceal meaningful absolute limits; pooled models may overreact to harmless calibration differences.
Common pitfalls
Do not label all post-replacement changes as equipment faults.
Keep maintenance information available at prediction time rather than leaking later inspection outcomes.
Original practice scenario: Design an audit trail for a simulated power-dispatch planner whose forecasts and constraints can change after a recommendation is produced.
Read model answer +
A replayable decision needs the inputs and rule versions used at that moment, not merely its final schedule. Later corrections should remain distinguishable from the original evidence.
Work through it
Assign a decision identifier and retain immutable references to forecast snapshots, available capacity, constraint versions and optimization settings.
Record proposed schedules, validation outcomes, overrides and their reasons; keep operational execution acknowledgements distinct from planning output.
Replay archived scenarios in an isolated environment and compare constraint satisfaction and objective values, allowing documented numerical tolerances.
Tradeoffs to discuss
Full snapshots simplify replay but increase storage; immutable versioned references require reliable retention across dependent systems.
Common pitfalls
A current forecast must not silently replace the historical input.
Do not equate a feasible simulated schedule with permission to control physical equipment.
