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基于ANFIS的长期电力负荷预测模型
引用本文:王军,吕元锋,陈俊,曹菁菁.基于ANFIS的长期电力负荷预测模型[J].兵工自动化,2006,25(7):35-36.
作者姓名:王军  吕元锋  陈俊  曹菁菁
作者单位:安徽工程科技学院,电气工程系,安徽,芜湖,241000;上海交通大学,机械与动力工程学院,上海,200030
摘    要:某电力公司的长期负荷预测模型,利用自适应神经网络模糊推理系统(ANFIS)建立.其结构分为计算输入的模糊隶属度、每条规则适用度、适用度归一化、每条规则输出及模糊系统输出5层.系统网络中含14个待定的前件和后件参数.采用Matlab编程,通过Sugeno和evalfis函数训练ANFIS,按指定指标得到这些参数,实现模糊预测.

关 键 词:电力长期负荷  模糊预测  自适应神经模糊推理系统  Matlab
文章编号:1006-1576(2006)07-0035-02
收稿时间:2006-01-14
修稿时间:2006-04-07

Long-Term Load Forecasting Model Based on ANFIS
WANG Jun,L Yuan-feng,CHEN Jun,CAO Jing-jing.Long-Term Load Forecasting Model Based on ANFIS[J].Ordnance Industry Automation,2006,25(7):35-36.
Authors:WANG Jun  L Yuan-feng  CHEN Jun  CAO Jing-jing
Affiliation:WANG Jun,L(U) Yuan-feng,CHEN Jun,CAO Jing-jing
Abstract:The ANFIS was adopted by the long-term load forecasting model to establish power company. Its structure was divided into calculating input fuzzy membership degree layer, every rule application degree layer, normalization of application degree layer, every rule output layer and fuzzy system output layer. There are 14 undetermined parameters named predictor and consequent. The Matlab programmer was adopted to train ANFIS through Sugeno and evalfis function; then, those parameters were achieved according to appointed indexes and fuzzy forecasting were realized.
Keywords:Long-term load forecasting  Fuzzy forecasting  Adaptive neutral fuzzy inference systems  Matlab
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