Forecasting of Short-term Power Load Based on Improved PSO Algorithm and LS-SVM

Forecasting of Short-term Power Load Based on Improved PSO Algorithm and LS-SVM

For problems of small samples, nonlinear, high dimensions and the local minimum of electric power load, a modeling method based on the least square support vector machine was proposed to forecast short-term power load by taking historical load, temperature and humidity data as inputs. For parameter...

Full description

Bibliographic Details
Main Authors: PAN Lei, LI Li-juan, DING Ting-ting, LIU Dui
Format: Article
Language:zho
Published: Editorial Department of Industry and Mine Automation 2012-09-01
Series:Gong-kuang zidonghua
Subjects:
power system, forecasting of short-term power load, particle swarm optimization algorithm, the least square support vector machine
Online Access:http://www.gkzdh.cn/article/id/8625

Internet

http://www.gkzdh.cn/article/id/8625

Similar Items