A Novel Hybrid Model Based on Extreme Learning Machine, k-Nearest Neighbor Regression and Wavelet Denoising Applied to Short-Term Electric Load Forecasting
Electric load forecasting plays an important role in electricity markets and power systems. Because electric load time series are complicated and nonlinear, it is very difficult to achieve a satisfactory forecasting accuracy. In this paper, a hybrid model, Wavelet Denoising-Extreme Learning Machine...
Main Authors: | Weide Li, Demeng Kong, Jinran Wu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2017-05-01
|
Series: | Energies |
Subjects: | |
Online Access: | http://www.mdpi.com/1996-1073/10/5/694 |
Similar Items
-
Optimal Wavelet Selection for Signal Denoising
by: Gyana Ranjan Sahoo, et al.
Published: (2024-01-01) -
Channel Equalization Using Wavelet Denoising
by: M. H. Miry
Published: (2007-11-01) -
Comparison of Wavelet Family Performances in ECG Signal Denoising
by: Octa Heriana, et al.
Published: (2017-08-01) -
Calibration Analysis of High-G MEMS Accelerometer Sensor Based on Wavelet and Wavelet Packet Denoising
by: Yunbo Shi, et al.
Published: (2021-02-01) -
Denoising EOG Signal using Stationary Wavelet Transform
by: Naga Rajesh, et al.
Published: (2012-01-01)