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。
Power system load forecasting process, short-term forecasting, considering the weather, human comfort and other factors.
说明:电力系统负荷预测程序,短期预测,考虑天气、人体舒适度等因素。
Short-term load forecasting is the foundation of Auto Generation Control (AGC). And it is needed in running and economic distributing of power system.
超短期负荷预测将成为AGC(自动发电控制)实用化的基础,同时也是动态经济调度和电力市场运行所需的基本信息。
应用推荐