首页>
外国专利>
SHORT-TERM LOAD FORECAST USING SUPPORT VECTOR REGRESSION AND FEATURE LEARNING
SHORT-TERM LOAD FORECAST USING SUPPORT VECTOR REGRESSION AND FEATURE LEARNING
展开▼
机译:使用支持向量回归和特征学习的短期负荷预测
展开▼
页面导航
摘要
著录项
相似文献
摘要
In a support vector regression approach to forecasting power load in an electrical grid, a feature learning scheme weights each feature in the input data with its correlation with the predicted load, increasing the prediction accuracy. The kernel matrix for the input training data is computed such that features that align better with the target variable are given greater weight. The resulting load forecast may be used to compute commands sent to demand response modules
展开▼