This paper studies Bayesian neural network in power load forecasting, load forecastingpower of the basic concepts and methods.
本文主要研究贝叶斯神经网络在电力负荷预测中的利用,论述了电力负荷预测的根本概念和措施。
2
The method and steps of BP (Back Propagation) neural network for recognizing and forecastingpower load in batch data processing of chronological sequence is presented.
介绍了在批量处理时间序列情况下,BP神经网络辨识预测电力负荷的方法和步骤。
3
The chaotic forecasting of power load is based on reconstructing phase space of the power load series.