An Improved Short-Term Load Forecasting Method of Warship

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.

• Periodical: Applied Mechanics and Materials (Volume 127)
• Pages: 575-581
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.127.575
• Online since: October 2011
• Authors: Dong Liang Li, Xiao Feng Zhang, Ming Zhong Qiao, Gang Cheng
• Keywords: Load Forecasting, Rough Set (RS), RS-SVM, Support Vector Machine (SVM)

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