---
title: Anomaly Detection in Power Quality Data
url: https://www.ml-quant.com/papers/ssrn/4944761/
site: ML-Quant (https://www.ml-quant.com)
updated: 2026-09-26
license: Summaries CC BY 4.0; links go to the original sources
index: https://www.ml-quant.com/llms.txt
identifier: SSRN 4944761
source_url: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4944761
featured: 2024-09-05
citations: unknown
topic: Asset Pricing & Factors
---


# Anomaly Detection in Power Quality Data

An evaluation index for anomaly detection in power quality data proves effective and sensitive to big data attributes and anomaly types.

- Source: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4944761
- Identifier: SSRN 4944761
- Released: 2024-09-03
- First featured: Quant Letter No. 64 (2024-09-05): https://www.ml-quant.com/issues/2024-09-05/
- Citations (Semantic Scholar): not tracked
- Published in: not yet
- Topic: Asset Pricing & Factors

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