Paper Title:
A Short-Term Load Forecasting Method of Warship Based on PSO-SVM Method
  Abstract

The power load characteristics of warship on a specific task was analyzed,and a task-based forecasting method for warship short-term load forecasting was presented. the new influencing factors of warship power load were used in modeling which is different with the land grid and civilian vessels grid. Theory of particle swarm optimization and Support vector machine was disscused first, and the method of particle swarm optimization was improved to have the ability of adaptive parameter optimization. and the method of support vector machine was improved by the adaptive PSO optimizational method. then a new adaptive short-term load forecasting model was established by the adaptive PSO-SVM method. finally Through simulation results show that the adaptive PSO-SVM method is highly feasible to predict with high accuracy and high generalization capability.

  Info
Periodical
Chapter
Chapter 2: Manufacturing Technology and Machinery Automation
Edited by
Quanjie Gao
Pages
569-574
DOI
10.4028/www.scientific.net/AMM.127.569
Citation
D. L. Li, X. F. Zhang, M. Z. Qiao, G. Cheng, "A Short-Term Load Forecasting Method of Warship Based on PSO-SVM Method", Applied Mechanics and Materials, Vol. 127, pp. 569-574, 2012
Online since
October 2011
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Price
$32.00
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