Short-term load forecasting is of great importance for electric power systems.
短期电力负荷的预测对电力系统具有重要的意义。
For the short -term electric power load with uncertainty influence factors, we put forward the load forecasting method using ANN based on similar historical day.
对于受不确定因素影响的短期电力负荷，提出了一种基于相似日的神经网络预测方法。
A hybrid method based on chaos and neural network was used in the study of the electric power system short-term load forecasting.
提出了一种将混沌和神经网络相结合的方法用于短期负荷预测。
The short-term load forecasting (STLF) of electric system is one of the important routines for power dispatch and utility departments.
电力系统短期负荷预测是电力系统调度运营和用电服务部门的重要日常工作之一。
Electric power load forecasting, especially short-term forecasting is an important routine of the electric power utility and of great economic significance.
电力负荷预测，特别是短期负荷预测是电力部门一项重要的工作，经济意义重大。
Electric power load forecasting, especially short-term forecasting is an important routine of the electric power utility and of great economic significance.
电力负荷预测，特别是短期负荷预测是电力部门一项重要的工作，经济意义重大。
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