摘要
电力负荷预测是电力企业规划部门的重要工作之一。论文研究了基于人工神经网络的负荷预测方法,并通过Matlab进行了仿真。最后,对人工神经网络中的BP算法进行优化,引入了组合预测神经网络模型并通过该模型进行实例验证,结果表明该优化算法有更好的预测效果。
The power load forecasting is one of the most important tasks to the planning section of the power enterprise.The paper introduces the importance of load forecasting theory and the condition of the recent research are given briefly. In this paper, the artificial neural network is used to forecast the power load, and get the final result from the simulation based on Matlab. At the end, some improvements was given on the BP method in the artificial neural network. After the simulation based on this method, it seems that the error brought by this method is lower that the method used before.
出处
《电气技术》
2012年第7期15-18,共4页
Electrical Engineering
