{"stable_id":"6f860c6641d873cd","slug":"pge-grid-continuous-monitoring","company":"Pacific Gas and Electric Company","workflow_name":"Continuous Monitoring Center machine-learning risk triage","function_code":"engineering","pattern_codes":["exception_based_operations","continuous_decisioning"],"changed_assumption":"That crews should be dispatched mainly after a fault, outage, or visible field report.","evidence_strength":"mixed","publication_tier":"showcase","freshness":"current","reviewed_at":"2026-08-23","updated_at":"2026-08-22","source_quality_summary":"1 independent, 1 primary; publication outcomes are verified and reported.","caveat_summary":"Utility-reported avoided-event estimates; the independent articles repeat PG&E's figures rather than audit the counterfactual.","freshness_caveat":null,"workflow_summary":{"before":[{"actor":"Grid operations","action":"Detect faults from alarms, outages, or reports after conditions escalate.","actor_type":"control"},{"actor":"Field crew","action":"Locate and repair the failed or hazardous asset.","actor_type":"control"}],"hinge":"That crews should be dispatched mainly after a fault, outage, or visible field report.","after":[{"actor":"Machine-learning monitoring stack","action":"Scans sensor and smart-meter patterns for abnormal precursors.","actor_type":"ai"},{"actor":"Engineer and field troubleshooter","action":"Validate the signal, locate the asset, and perform preventive work before ignition or outage.","actor_type":"human"}],"decision_mode":"shared","decision_marker":"AI handles the default; humans own exceptions"},"before":[{"order":1,"actor":"Grid operations","action":"Detect faults from alarms, outages, or reports after conditions escalate.","handoff_to":"Emergency crew","control":"Reactive response"},{"order":2,"actor":"Field crew","action":"Locate and repair the failed or hazardous asset.","handoff_to":"Grid restoration","control":"Emergency procedures"}],"after":[{"order":1,"actor":"Machine-learning monitoring stack","action":"Scans sensor and smart-meter patterns for abnormal precursors.","handoff_to":"Monitoring-center engineers","control":"Risk alerts"},{"order":2,"actor":"Engineer and field troubleshooter","action":"Validate the signal, locate the asset, and perform preventive work before ignition or outage.","handoff_to":"Grid operations","control":"Humans authorize and execute field intervention"}],"decision_rights":"Models flag potential risk; engineers determine priority and crews verify and repair physical equipment.","exception_path":"Unconfirmed alerts can be monitored or closed; conventional protection, outage, and wildfire procedures remain in force.","removed_work":["Broad reactive search after failure","Some emergency response work that can be converted to planned preventive repair"],"outcomes":[{"metric":"Preventive catches and customer outage minutes avoided","baseline":"Reactive response after equipment failure or ignition precursor escalated","result":"PG&E reported 17 potential ignitions intercepted, 12 million unplanned customer-outage minutes avoided, 2,620 emergency response hours reduced, and about $6 million saved","period":"Calendar year 2025","scale":"PG&E electric grid monitored by tens of thousands of sensors and approximately 5.5 million meters","attribution_caveat":"Utility-reported avoided-event estimates; the independent articles repeat PG&E's figures rather than audit the counterfactual.","evidence_label":"reported"}],"executive_lesson":"The model is only the first step; value appears when an engineer can translate an anomaly into a precise, timely field dispatch.","anti_pattern":"Counting every anomaly as a prevented wildfire or bypassing physical verification.","questions_for_leaders":["How are avoided events estimated?","What alert precision keeps field teams engaged?"],"collections":[],"bundle_version":"1.0.0","bundle_fingerprint":"sha256:c23c6cc2b88153d008ea8fda928f632ce0011fc2d4c5036672a16e5d895bab93","canonical_url":"https://brianletort.ai/transformations/pge-grid-continuous-monitoring"}