燕山大学学报2017，Vol.41Issue(1)：63-67,5.DOI:10.3969/j.issn.1007-791X.2017.01.010
基于理想点多属性决策算法的中长期电力负荷组合预测
Medium and long-term power load combination forecasting based on ideal-point and multi-attribute decision algorithm
摘要
Abstract
The combination forecasting method was expanded.The ideal-point and multi-attribute decision algorithm was introduced into medium and long-term power load forecasting to establish an ideal-point combination forecasting model and forecast medium and long-term power load.In the established model, reciprocals of four evaluation indexes including maximum error absolute value, minimum error absolute value, mean absolute percent error and root mean square error of various single forecasting models were taken as an attribute set and categories of various single forecasting models were taken as a scheme set. The deviation between various models and positive ideal-point was calculated.The weights of various single forecasting models were determined according to the deviation between positive ideal-point. The effectiveness and practical value of combination model were verified through the social power consumption forecasting in a certain area and a comparison of error with single forecasting model.关键词
理想点多属性决策算法/中长期电力负荷预测/组合预测Key words
the ideal-point and multi-attribute decision algorithm/medium and long-term power load forecasting/combination forecasting分类
信息技术与安全科学引用本文复制引用
杨胡萍,李辉,占思凯,严飞飞..基于理想点多属性决策算法的中长期电力负荷组合预测[J].燕山大学学报,2017,41(1):63-67,5.基金项目
国家自然科学基金资助项目(51367014) （51367014）
