IndonesiaEnergy and utilities2024 – ongoing

Perusahaan Listrik Negara

SkyProbe AI drone inspection of the Paotere distribution feeder

AI drone inspections found 24 maintenance issues on PLN's Paotere feeder

WorkingCompany's own claim

Problem

PLN needed to identify deteriorating equipment on the Paotere medium-voltage feeder in North Makassar and decide what maintenance to perform.

Approach

Drone inspections collected visual data for analysis with SkyProbe AI. A field study examined inspection findings and PLN disturbance records. Maintenance crews then replaced or repositioned damaged components and installed protective equipment.

Results

24inspection findings on the Paotere feeder, reported in a thesis using PLN recordsCompany's own claim[1]

66.67%reduction in equipment-related disturbances after maintenance, reported from PLN recordsCompany's own claim[1]

Takeaway

The reported disturbance reduction followed physical maintenance informed by inspection findings. It did not measure the effect of AI separately from those repairs.

Sources

Inspeksi Jaringan Tegangan Menengah (Jtm) Dengan Drone Berbasis Artificial Intelligence Pada Pt. Pln (Persero) Up3 Makassar Utara
Politeknik Negeri Ujung Pandang2024Research paper or report

Source summaries

[1]Politeknik Negeri Ujung Pandang2024

Muhammad Aksan's diploma thesis examined AI-assisted drone inspections and PLN operational records. Its abstract reported 24 findings and a 66.67% reduction in equipment-related disturbances after maintenance.

Full details are in the original sources.

Added 1 Nov 2026 · Updated 1 Nov 2026