CAJ | 학술논문

基于电力负荷预测在电力系统中的重要性，提出了电路负荷分析方法，并通过对某市负荷数据的分析，建立了神经网络短期负荷预测模型，并进行实验验证，模型具有较高的精度，且具有很强的稳定性，适合多种不同的预测环境。
기우전력부하예측재전력계통중적중요성，제출료전로부하분석방법，병통과대모시부하수거적분석，건립료신경망락단기부하예측모형，병진행실험험증，모형구유교고적정도，차구유흔강적은정성，괄합다충불동적예측배경。
Considering the importance of the power load forecasting in the power system, this paper works out a load analysis plan on the comprehensive study of the BP neural network theory. the paper establishes a short-term load forecasting model based on the neural network and carry out an experiment. Results of the prediction are verified highly precise and stable, which makes it suitable for different forecasting conditions.