摘要
建立了一种回归系数为对称三角模糊数的α加权模糊线性回归模型,运用模型进行了电量需求预测.实际需求和预测结果分析表明,该模型能够实现历史数据“重近轻远”的预测效果,进一步提高预测精度,减少预测误差,适合于电力需求预测.
An improved fuzzy regression model based on symmetric triangular fuzzy numbers, which is named α- weighted fuzzy linear regression model in context,is proposed, The comparative analysis between the practical and the forecasting demands indicate that the model could implement the optimized selection,determine the weight proportions by history data, and so, enhance forecasting precision, reduce errors and be applicable to power demand forecasting.
出处
《上海理工大学学报》
CAS
北大核心
2005年第4期319-322,共4页
Journal of University of Shanghai For Science and Technology
基金
山东省中青年科学奖励基金资助项目(03BS121)
关键词
α-加权模糊线性回归模型
电力负荷预测
对称三角模糊数
α-weighted fuzzy linear regression model
power demand forecasting
symmetric triangular fuzzy number
