摘要
传统电力负荷预测方法在混度向量模糊场景下,所得到的电力负荷预测结果与实际电力负荷截值之间的误差较大。为了解决上述混沌场景下的预测精准度问题,提出电力推进船舶电力负荷预测方法。实现步骤共分为建立模糊预测量模型、混沌量回归优化与向量机预测输出负荷的优化3部分。通过对预测不同阶段关系量的优化,实现提升预测精准度的效果。与传统预测方法的数据对比表明,提出方法的预测值与实际负荷值之间的误差,明显小于传统预测方法预测值,更适合电力推进船舶电力负荷的预测应用。
The traditional power load prediction method in the mixed vector fuzzy scenario,the power load prediction result and the actual power load intercept are large.In order to solve the prediction accuracy in the above chaotic scenario,the prediction method of power load is proposed.Methods The realization steps are divided into three parts:establishing fuzzy prediction model,chaotic regression optimization and predicting output load of vector machine.Improve the prediction accuracy by optimizing the relationship of prediction at different stages.Data comparison with the traditional prediction method shows that the error between the prediction method and the actual load value is significantly smaller than the traditional prediction method and is more suitable for the prediction application of power load in ships.
作者
苏超杰
SU Chao-jie(Henan Industry and Trade Vocational College,Zhengzhou 450000,China)
出处
《舰船科学技术》
北大核心
2021年第16期76-78,共3页
Ship Science and Technology
基金
河南省科技创新杰出人才计划(144200510015)
关键词
电力推进船舶
电力
负荷
预测
power propulsion ship
electric power
load
forecast
