计算机与数字工程Issue(9)：2357-2363,7.DOI:10.3969/j.issn.1672-9722.2019.09.050
智能电网负荷预测算法的研究∗
Research on Smart Grid Load Forecasting Algorithm
邹鑫 1路建明 1贺鹏程 1蔡子健2
作者信息
- 1. 国网湖南省电力公司电力调度控制中心 长沙 410004
- 2. 北京恒泰实达科技股份有限公司南京研发中心 南京 211106
- 折叠
摘要
Abstract
Load forecasting is essential to improve the operational efficiency of the smart grid. Aiming at the problem of insuffi?cient forecast accuracy and insufficient stability in power load forecasting,a smart grid forecasting algorithm based on improved Mar?kov model is proposed. The algorithm firstly solves the problem that the load data does not satisfy the negative exponential distribu?tion by using the spatial transform data processing method,and then uses the difference algorithm to discretize the load into two data sequences,calculates the load forecasting median value and forecasting volatility based on the value of the final load forecasting val?ue. The experimental results verify the improvement of the proposed prediction algorithm in load forecasting accuracy and algorithm operation stability.关键词
智能电网/负荷预测/马尔科夫模型/空间变换/差分算法/预测精度Key words
smart grid/load forecasting/Markov model/spatial transform/difference algorithm/prediction accuracy分类
信息技术与安全科学引用本文复制引用
邹鑫,路建明,贺鹏程,蔡子健..智能电网负荷预测算法的研究∗[J].计算机与数字工程,2019,(9):2357-2363,7.
