Jun 16, 2021 · In this article we introduce Double Fourier Integral Analysis in the Non-Intrusive Load Monitoring task in order to provide more distinct ...

Specifically, the high-frequency aggregated current and voltage signals are transformed into two-dimensional unit cells as calculated by Double Fourier Integral ...

In this article we introduce Double Fourier Integral Analysis in the Non-Intrusive Load Monitoring task in order to provide more distinct feature descriptions ...

In this article we introduce Double Fourier Integral Analysis in the Non-Intrusive Load Monitoring task in order to provide more distinct feature descriptions ...

Double Fourier integral analysis based convolutional neural network regression for high-frequency energy disaggregation. PA Schirmer, I Mporas.

BaseNILM is a tool for solving the energy disaggregation problem. It aims to provide a baseline systems for both new and experienced researchers.

Sep 22, 2022 · In this article, six different two-dimensional representation techniques are compared in terms of performance, runtime, influence on sampling frequency, and ...

This work presents a causal 1-D convolutional neural network inspired by WaveNet for NILM on low-frequency data and demonstrates that using all four ...

Double Fourier Integral Analysis based Convolutional Neural Network Regression for High-Frequency Energy Disaggregation. IEEE Trans. Emerg. Top. Comput ...

Sep 1, 2023 · Recently, a double Fourier integral analysis based CNN regression model has been developed using the raw current and voltage signals sampled ...