Synthetic Power Quality Disturbances Dataset of Single and Combined Disturbances Generated in Accordance with IEEE 1159 Specifications

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Abstract 

The dataset encompasses a diverse array of electrical signals representing Power Quality Disturbances (PQD), both in single and combined forms, meticulously generated in adherence to the IEEE 1159 guideline.  Crucially, the dataset includes both raw data and corresponding labels, facilitating supervised learning tasks and enabling the development and evaluation of classification algorithms. Researchers and practitioners in the field of electrical engineering can leverage this dataset to explore a myriad of topics, including signal processing, anomaly detection, fault diagnosis, and system resilience assessment, among others. The adherence to the IEEE 1159 guideline ensures that the dataset conforms to industry standards, enhancing its relevance and applicability in real-world scenarios.

Comments

I need it for new investigation

Submitted by Karo Shakeri on Wed, 07/24/2024 - 13:18

Hi. I would you like this data for my research in power quality disturbances using Machine Learning Techniques. Please, send me for e-mail: marcelo.estevao@alu.ufc.br. Thank you!

Submitted by Marcelo Estevao... on Mon, 08/12/2024 - 22:22