A non-intrusive load monitoring data generation method
Year: 2025
Type: conference-paper
Abstract: Non-intrusive load monitoring (NILM) is a technique that does not require access to the interior of the system or to the interior of each electrical appliance. Instead, it only installs monitoring equipment at the entrance of the user bus. In the course of investigating non-intrusive load identification techniques, it is often necessary to collect extensive user load data in order to confirm the applicability of the proposed load identification methods across various situations. This requirement inevitably entails a significant burden of data collection and organization. In order to overcome this challenge, a hybrid approach was proposed that combines the principle of Frequency Invariant Transformation for Periodic Signals (FIT-PS) with Time Series Generative Adversarial Networks (TimeGAN). This method was employed to generate single-loaded waveform and multi-loaded waveforms, in order to meet the test requirements.
Authors: Yong Xiao, Zhukui Tan, Bin Qian, Junwei Zhang, Yi Luo, Fan Zhang, Junli Huang, Xiangyong Feng
Language: English
Topic: Smart Grid Energy Management
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4407876578