PrOuD: Probabilistic Outlier Detection Solution for Time-Series Analysis of Real-World Photovoltaic Inverters

PrOuD: Probabilistic Outlier Detection Solution for Time-Series Analysis of Real-World Photovoltaic Inverters

Anomaly detection methods applied to time series are mostly viewed as black boxes that solely provide a deterministic answer for the detected target. Without a convincing explanation, domain experts can hardly trust the detection results and must conduct further time-series diagnoses in real-world a...

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Bibliographic Details
Main Authors: Yujiang He, Zhixin Huang, Stephan Vogt, Bernhard Sick
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Energies
Subjects:
anomaly
novelty
outlier detection
photovoltaic
probabilistic forecasting
explainability
Online Access:https://www.mdpi.com/1996-1073/17/1/64

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https://www.mdpi.com/1996-1073/17/1/64

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