摘要
电力负荷预测在能源领域中是一项非常重要的研究课题,它对于保障系统的安全运行,并在此前提下实现能源的节约和生产的效益最大化具有非常重要的应用价值.本文以大孤山选矿厂的电能消耗为研究对象,首先利用小波变换对负荷序列进行分解,得到不同频率的各个负荷分量,然后利用数据分类和多元回归分析方法分别对各个分量进行预测,最后再将各个分量的预测值组合起来,得到最终的预测结果。
The power load forecast is an important research problem in power field. It has an important application value in ensuring the safe operation of the system, and realizing the maximum of production benefit and saving of energy. The research object of this paper is electrical consume of Dagushan concentrator. Firstly this paper decomposes load series by wavelet transforming,and obtains load hefts at different frequencies; then forecasts every heft by the methods of data classification and multiple regression analysis; lastly composes every forecasting result to get the final result.
