基本信息:
- 专利标题： 一种基于并行预测策略的公共楼宇日前空调负荷预测方法
- 专利标题（英）：Method for predicting other day air-conditioning load of public building based on parallel prediction strategy
- 申请号：CN201611093020.3 申请日：2016-12-02
- 公开(公告)号：CN106682764A 公开(公告)日：2017-05-17
- 发明人： 陈星莺 , 宁艺飞 , 余昆 , 颜庆国 , 阮文骏 , 陈楚
- 申请人： 河海大学 , 国网江苏省电力公司 , 国家电网公司
- 申请人地址： 江苏省南京市江宁区佛城西路8号; ;
- 专利权人： 河海大学,国网江苏省电力公司,国家电网公司
- 当前专利权人： 河海大学,国网江苏省电力公司,国家电网公司
- 当前专利权人地址： 江苏省南京市江宁区佛城西路8号; ;
- 代理机构： 南京苏高专利商标事务所
- 代理人： 刘渊
- 主分类号： G06Q10/04
- IPC分类号： G06Q10/04 ; G06K9/62 ; G06Q50/16
The invention discloses a method for predicting other day air-conditioning load of a public building based on parallel prediction strategy. The method includes the following steps: according the sequential characteristics of air-conditioning loads of a public building, based on big sample data, establishing and adopting the parallel prediction strategy so as to reduce the influence of accumulative errors; adopting the major component analysis method and the fuzzy C means clustering method in combination in the process of pre-treating historical data, using the characteristic extraction capacity of PCA in combination with the capability of the fuzzy C means clustering method of selecting a similar day, and also reducing the dimension of an input variant and the scale of the sample data. Therefore, the method improves the precision and generalization of model prediction.