![一种基于大数据思维的客户用电行为分析模型](/CN/2016/1/190/images/201610954108.jpg)
基本信息:
- 专利标题: 一种基于大数据思维的客户用电行为分析模型
- 专利标题(英):Customer electricity utilization behavior analysis model based on big data thinking
- 申请号:CN201610954108.3 申请日:2016-10-27
- 公开(公告)号:CN106570783A 公开(公告)日:2017-04-19
- 发明人: 陈志刚 , 郑海雁 , 谢林枫 , 熊政 , 庄岭 , 李新家 , 尹飞 , 仲春林 , 方超 , 李昆明 , 季聪 , 宋煜 , 喻伟 , 徐明珠
- 申请人: 国网江苏省电力公司 , 江苏方天电力技术有限公司 , 国家电网公司
- 申请人地址: 江苏省南京市鼓楼区上海路215号; ;
- 专利权人: 国网江苏省电力公司,江苏方天电力技术有限公司,国家电网公司
- 当前专利权人: 国网江苏省电力公司,江苏方天电力技术有限公司,国家电网公司
- 当前专利权人地址: 江苏省南京市鼓楼区上海路215号; ;
- 代理机构: 南京纵横知识产权代理有限公司
- 代理人: 张赏; 董建林
- 主分类号: G06Q50/06
- IPC分类号: G06Q50/06
The invention discloses a customer electricity utilization behavior analysis model based on big data thinking. The association relation of electricity consumption and load change caused by electricity utilization composition, the peak-valley energy utilization rationality, the power factor, the rate of capacity utilization, super-capacity electricity utilization and the environment change of users is analyzed through combination of the industries and the regional background of the users; the electricity utilization analysis result and the reasonable electricity utilization suggestions are pushed to the enterprise users to guide the users to reasonably sign the electricity purchasing and selling contract, select the electricity price policy and arrange the production activities so that the production and energy consumption cost of the users can be reduced and the benefit of the users is enabled to be maximized; meanwhile, the companies can guide and promote the users to perform structural adjustment through price and policy and other measures so as to change the mode of growth; and the users can be guided to sign the electricity purchasing and selling contract, select the electricity price policy, arrange the production activities and perform off-peak electricity consumption so that the production and energy consumption cost of the users can be reduced, the benefit of the users can be maximized and energy saving and consumption reduction can be facilitated.