基于遗传算法和BP神经网络的城区中长期电力负荷预测与分析

由于产业结构的调整、居民消费能力消费结构的变化和市场化等因素的影响，城区中长期电力负荷预测具有相当的难度。建立一个基于遗传算法和BP算法相结合的神经网络预测模型，以南昌市为例做实证，并与传统BP神经网络和模拟退火预测结果做对比，验证了该模型的准确性。最后对城区未来十几年的基本用电负荷进行了预测和分析。

Forecasting and analysis on long-term/mid-term electric load of city by GA-BP neural networks

Due to the industrial structure adjustment,the change of resident consumption ability and pattern of consumption,and market-oriented and so on,long-term/mid-term power load forecasting for urban plans faces considerable difficulties.In the past two years,the methods that combined genetic algorithm and Back Propagation(BP) algorithm have been used for short-term power load forecasting rather than long-term/mid-term power load forecast of electricity.In this paper,a neural network prediction model with combin...