基于BP神经网络下用电负荷预测

城市日常生活和发展离不开用电,对用电情况进行分析可以为预测提供依据,进而探讨和解决生活中的用电问题。首先简述BP神经网络,而后基于神经网络从单一时间因素预测用户用电负荷量,结果具有一定的误差,考虑多因素影响,引入温度因素,对用户用电负荷量再次预测,最后分析神经网络下用电负荷预测的结果。

Load Forecasting Based on BP Neural Network

The daily life and development of cities are inseparable from the use of electricity.Analysis and prediction of electricity consumption can provide a basis to further explore and solve the problem of electricity consumption in life.This paper briefly describes the BP neural network,and uses the neural network to predict the user's power load from a single time factor.The result has a certain error.Considering the influence of multiple factors,the temperature factor is introduced to predict the user's power load again.Finally,the neural network is analyzed.Results of power load forecasting under the network.