
基本信息:
- 专利标题: 中长期电力负荷预测方法
- 专利标题(英):Medium and long term power load prediction method
- 申请号:CN201910355154.5 申请日:2019-04-29
- 公开(公告)号:CN110163421A 公开(公告)日:2019-08-23
- 发明人: 罗澍忻 , 林勇 , 麻敏华 , 靳冰洁 , 左郑敏 , 郑秀波 , 韦斌 , 周姝灿
- 申请人: 广东电网有限责任公司电网规划研究中心
- 申请人地址: 广东省广州市越秀区东风东路水均岗8号西塔10、11楼
- 专利权人: 广东电网有限责任公司电网规划研究中心
- 当前专利权人: 广东电网有限责任公司电网规划研究中心
- 当前专利权人地址: 广东省广州市越秀区东风东路水均岗8号西塔10、11楼
- 代理机构: 长沙智德知识产权代理事务所
- 代理人: 曾芳琴
- 主分类号: G06Q10/04
- IPC分类号: G06Q10/04 ; G06Q50/06 ; G06N3/04
The invention provides a medium and long term power load prediction method. The method comprises the following steps: acquiring power load data and influence factors thereof in a preset time period; dividing the power load data and the influence factor into a plurality of first time scale data according to the first time scale, and dividing the influence factor into a plurality of second time scale data according to the second time scale; constructing a power load prediction model according to the plurality of first time scale data and the plurality of second time scale data; training the power load prediction model by adopting a long-short-term memory neural network to generate a stacked long-short-term memory network model; and predicting the power load through the stacked long-short-term memory network model, and generating power load prediction data. The method can solve the problem of data dependence of different time scales, and improves the prediction precision of medium and long-term power loads.
公开/授权文献:
- CN110163421B 中长期电力负荷预测方法 公开/授权日:2021-08-24