BP网络对负荷值进行预报。在预测日的前一天，每隔两个小时对电力负荷进行一次测量，一天共得到12组测量数据。并将前一天的负荷数据作为网络的样本数据。-System for forecasting of electric load.The day before the forecast day, every two hours of electricity load time measurements a day, a total of 12 groups of measurement data.

基于.net的电力工程的日负荷计算，应用环境VS和SQL SERVER-Based on daily load calculation of net electric power engineering, application environment VS and SQL SERVER

电力系统日负荷曲线分析GUI程序。考虑不同类别的用户，以及最大负载值、平均负载在指定的期间内的统计分析。-GUIof power system daily load curve analysis algorithm. Consider the different categories of users, and the maximum load value, the average load over a specified period of the statistical analysis.

为了满足负荷增长需求，电力系统需在给定负荷预测结果的基础上，合理规划安排发电机组的建设，同时结合目标系统的典型日负荷曲线，对规划方案的应用效果进行校验。(Low-carbon power planning)

基于BP神经网络的电力系统日负荷预测，模型采用24个输入，24个输出，训练次数为10000，训练目标为0.5，学习速率设置为0.1。(Load forecasting based on BP neural network, the model uses 24 inputs, 24 outputs, the number of training is 10000, the training target is 0.5, the learning rate is set to 0.1.)