Spectral Analysis of Electricity Demand Using Hilbert–Huang Transform
The large amount of sensors in modern electrical networks poses a serious challenge in the data processing side. For many years, spectral analysis has been one of the most used approaches to extract physically meaningful information from a sea of data. Fourier Transform (FT) and Wavelet Transform (W...
Main Authors: | Joaquin Luque, Davide Anguita, Francisco Pérez, Robert Denda |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-05-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/20/10/2912 |
Similar Items
-
The Hilbert-Huang Transform: theory, applications, development
by: Barnhart, Bradley Lee
Published: (2011) -
Comparison between traditional fast Fourier transform and marginal spectra using the Hilbert–Huang transform method for the broadband spectral analysis of the electroencephalogram in healthy humans
by: Eduardo Arrufat‐Pié, et al.
Published: (2021-08-01) -
Continuous Wavelet and Hilbert-Huang Transforms Applied for Analysis of Active and Reactive Power Consumption
by: Avdakovic Samir, et al.
Published: (2014-08-01) -
Instantaneous 3D EEG Signal Analysis Based on Empirical Mode Decomposition and the Hilbert–Huang Transform Applied to Depth of Anaesthesia
by: Mu-Tzu Shih, et al.
Published: (2015-02-01) -
A Revised Hilbert–Huang Transform and Its Application to Fault Diagnosis in a Rotor System
by: Hongjun Wang, et al.
Published: (2018-12-01)