Short-Term Load Forecasting Based on Wavelet Transform and Least Squares Support Vector Machine Optimized by Fruit Fly Optimization Algorithm
Electric power is a kind of unstorable energy concerning the national welfare and the people’s livelihood, the stability of which is attracting more and more attention. Because the short-term power load is always interfered by various external factors with the characteristics like high volatility an...
Saved in:
Main Authors: | Wei Sun, Minquan Ye |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2015-01-01
|
Series: | Journal of Electrical and Computer Engineering |
Online Access: | http://dx.doi.org/10.1155/2015/862185 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Daily allocation of energy consumption forecasting of a power distribution company using optimized least squares support vector machine
by: Marzia Ahmed, et al.
Published: (2025-03-01) -
A Conjunction Method of Wavelet Transform-Particle Swarm Optimization-Support Vector Machine for Streamflow Forecasting
by: Fanping Zhang, et al.
Published: (2014-01-01) -
A Hybrid Wavelet Transform Based Short-Term Wind Speed Forecasting Approach
by: Jujie Wang
Published: (2014-01-01) -
A fast parameter estimation method for high-frequency oscillation based on empirical wavelet transform and moving least square
by: Bo Sun, et al.
Published: (2025-01-01) -
Power short-term load forecasting based on big data and optimization neural network
by: Xin JIN, et al.
Published: (2016-10-01)