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METHOD FOR SHORT TERM ELECTRIC LOAD PREDICTION SYSTEM WITH THE GENETIC ALGORITHM AND THE FUZZY SYSTEM

机译:基于遗传算法和模糊系统的短期电力负荷预测方法。

摘要

One short term power load predicting method uses a genetic algorithm and a fuzzy system, and the prediction rule for being used to save a fuzzy membership functions is arranged to for short term prediction method to be applied to commercial plan foundation, weather forecast, the prediction of stock price and field of signal processing. One membership function is determined (301). The database of membership function and additional functional value that wherein input data belongs to is generated by generating a prediction rule (302). Prediction rule is set as a kind of Max- minimums method (303). One logical rule is generated (304). Time series forecasting is realized via Max- minimums method and the center method of average (305). (306) are changed by the membership function shape and rule of genetic algorithm.
机译:一种短期电力负荷预测方法是利用遗传算法和模糊系统,将用于保存模糊隶属函数的预测规则安排为用于商业计划基础,天气预报,预测的短期预测方法。价格和信号处理领域。确定一种隶属函数(301)。通过生成预测规则来生成输入数据所属的隶属函数和附加功能值的数据库(302)。预测规则被设置为一种最大极小值方法(303)。产生一个逻辑规则(304)。时间序列的预测是通过最大最小值方法和中心平均值方法(305)实现的。 (306)由隶属函数形状和遗传算法规则改变。

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