实时灰色最小二乘支持向量机模型在蒸汽预测中的应用

摘要

针对锅炉蒸汽产量预测的非线性和灰色性,提出将实时灰色最小二乘支持向量机模型应用于蒸汽预测,预测结果与实时GM(1,1)模型的预测结果进行对比,证明该模型具有更高的预测精度,可为蒸汽生产和调度提供决策依据.%For the nonlinear and gray properties of boiler steam production forecast, a model of real-time gray squares support vector machine used in steam forecast is proposed. In contrast to actual model GM (1,1) predictions , this model proves with higher prediction accuracy, and may be for steam production and scheduling to provide the basis for decision making.