AI · SEMICONDUCTOR · FACT CHECK
SKD WIREMostly True
The Korea Electrical Safety Service (KES) is deploying AI-based technology to prevent fires in energy storage systems (ESS), an initiative it says has blocked 355 potential thermal runaway events, according to a report by etnews.
The state-run safety agency has applied artificial intelligence to detect early signs of thermal runaway — the overheating chain reaction that is a leading cause of ESS fires. The system flags abnormalities in battery conditions before they escalate into fires, allowing preemptive intervention.
The reported figure of 355 prevented thermal runaway incidents comes from KES's own announcement. Details on the exact timeframe of the tally, the detection methodology, and how each case was classified as a prevented incident were not disclosed in the source material.
ESS fire safety has been a persistent concern in Korea since a series of battery fires at storage sites in recent years prompted tighter industry oversight. AI-driven monitoring of battery cell temperature and voltage data is among the measures being adopted to reduce recurrence risk.
The claim rests primarily on KES's announcement of the 355 figure, and independent corroboration of the number was not available. The overall picture — that the agency is using AI to curb ESS fires and has credited the system with 355 prevented thermal runaway events — is therefore assessed as Mostly True.
