摘要
在电力推进船舶中,电力负荷预测是一项至关重要的工作,尤其是对电力负荷的短期预测,可将预测结果作为船舶电力系统的控制依据,预测精度对船舶的运行经济性具有直接影响。可用于船舶电力负荷短期预测的方法相对较多,不同的预测方法精度有所差别,但随着电力负荷在船舶中重要性的突显,使得电力负荷预测方法都在逐步完善,预测精度也随之提升。本次采用最小二乘SVM模型,对船舶的电力负荷进行短期预测,研究结果表明,该方法可以使电力负荷短期预测精度得到进一步提高。
In electric propulsion ships,electric load forecasting is a vital task,especially for short-term forecasting of electric loads.The forecast results can be used as the control basis for the ship’s power system.The accuracy of the forecast is important to the economics of the ship’s operation.direct impact.There are relatively many methods that can be used for short-term forecasting of electrical load of ships,and the accuracy of different forecasting methods is different.However,as the importance of electrical loads in ships becomes more prominent,the forecasting methods of electrical loads are gradually being improved,and the accuracy of forecasting will follow.promote.This time,the least square SVM model is used to predict the short-term forecast of electric power load of electric propulsion ships.The research results show that this method can further improve the accuracy of short-term electric load forecasting.
作者
刘静
LIU Jing(Zhengzhou Branch of State Grid Technology College,Zhengzhou Electric Power College,Zhengzhou 450000,China)
出处
《舰船科学技术》
北大核心
2021年第24期61-63,共3页
Ship Science and Technology
基金
2020年度河南省高等职业学校青年骨干教师培养计划项目
