电力负荷中期预测分析系统的仿真应用

Load Prediction Analysis System Simulation Application

本文介绍了开发电力负荷预测分析系统的主要技术,系统集成了人工神经BP算法和支持向量机SVM两种预测方法,运用多元回归模型和时间序列模型建立电力负荷中期预测模型。系统运用MATLAB科学计算工具实现模块设计、功能设计和数据存储设计,运用GUI(图形用户界面)实现系统仿真界面,方便了技术人员进行电力负荷预测的分析研究。

The technologies used to develop electric load prediction analysis system are presented in this paper. Two prediction methods, artificial neural network BP algorithm and support vector machine are integrated in the system, taking multi-variate regression and time series to build mid-term electric load prediction model. MATLAB, the technical computing tool, is used to implement function and module design, the system simulation interface is fabricated with it's graphic user interface. With the simulation system, the technicians can do load predication analysis conveniently and easily.