[Work & Writing](/work)

# Time series

2 entries

## 2026

- - [8 February 2026 Writing Report](/reports/grid-diffusion-anomaly-detection)
    ### [Anomaly (Out-of-Distribution) Detection for Electrical Distribution Networks using Discrete Diffusion Methods](/reports/grid-diffusion-anomaly-detection)
    [The paper behind Grid Diffusion AD: discrete diffusion over quantised magnetic-field windows, trained on normal data only, scored against a false-alarm budget. The best configuration separated faults from normal weakly, and the paper reports that instead of rounding it up.](/reports/grid-diffusion-anomaly-detection)
    [- AI- Machine learning- Research- Time series](/reports/grid-diffusion-anomaly-detection)

## 2025

- [View case study](/work/grid-diffusion-ad)

  ### [Grid Diffusion AD](/work/grid-diffusion-ad)

  Diffusion models trained on normal magnetic-field signals, scored on whether they notice a fault they've never seen.

  - AI
  - Machine learning
  - Research
  - Time series