【摘要】 将最小二乘支持向量机(LS-SVM)引入空调负荷预测中,在Fortran软件平台上建立LS-SVM空调负荷预测模型,并将其应用于绵阳一栋办公类建筑的空调负荷预测中。试验表明所提出的方法预测精度较高,运算简单,收敛速度快,具有较强的可行性和实用性。更多还原

【Abstract】 A new algorithm for short-term air-conditioning load forecasting is expounded based on the Least Squares Support Vector Machine(LS-SVM) method,establishing a prediction model for air-conditioning load with the FORTRAN software.The LS-SVM prediction model is used for predicting air-conditioning load of an office building in summer months in Mianyang area.Simulated results show that the LS-SVM method enjoys better forecasting accuracy and speed,which proved to be feasible and practical.更多还原